{"component": "clause", "props": {"groups": [{"snippet_links": [{"key": "missing-information", "type": "definition", "offset": [89, 108]}, {"key": "data-source", "type": "definition", "offset": [125, 136]}, {"key": "milestone-date", "type": "definition", "offset": [164, 178]}, {"key": "appendix-a", "type": "clause", "offset": [247, 257]}, {"key": "characteristics-of", "type": "definition", "offset": [274, 292]}], "snippet": "The sensitivity analyses, which investigated the implications of including patients with missing information in at least one data source for routes to diagnosis or milestone date, displayed similar findings as the main analysis (Tables A.3-A.4 in Appendix A). And the basic characteristics of excluded and included patients were similar (Table A.5 in Appendix A).", "size": 2, "samples": [{"hash": "a4yfZ3mqwx3", "uri": "/contracts/a4yfZ3mqwx3#sensitivity-analyses", "label": "Research Agreement", "score": 28.9063625336, "published": true}, {"hash": "5Fudph3zI4O", "uri": "/contracts/5Fudph3zI4O#sensitivity-analyses", "label": "Research Collaboration Agreement", "score": 28.2103805542, "published": true}], "hash": "a6bf2c7fe00de7a022a4afc20ace5995", "id": 1}, {"snippet_links": [{"key": "calculate-the", "type": "clause", "offset": [175, 188]}, {"key": "calculating-the", "type": "clause", "offset": [262, 277]}], "snippet": "\uf0a7 Calculate one-way and/or multi-way sensitivity analyses for direct prescription costs and incremental prescription costs (savings). \u00a7\uf0a7 An explanation of the methods used to calculate the sensitivity analyses must be included as well as the assumptions used in calculating the values. \u00a7\uf0a7 Cite all relevant references.", "size": 2, "samples": [{"hash": "75pzYJGCG4X", "uri": "/contracts/75pzYJGCG4X#sensitivity-analyses", "label": "Product Listing Agreement", "score": 26.5181388855, "published": true}, {"hash": "bh8305XN6hF", "uri": "/contracts/bh8305XN6hF#sensitivity-analyses", "label": "Product Listing Agreement", "score": 26.4537982941, "published": true}], "hash": "4a7d7aac448c9c6f71a062f5f1bf57a2", "id": 2}, {"snippet_links": [], "snippet": "Sensitivity and Issue Target Modelling Assumption", "size": 1, "samples": [{"hash": "8LG7nZhVY7z", "uri": "/contracts/8LG7nZhVY7z#sensitivity-analyses", "label": "Okanagan Innovative Forestry Practices Agreement", "score": 22.8165645599, "published": true}], "hash": "0314c7c4bbb95847380787a848702610", "id": 3}, {"snippet_links": [{"key": "base-case", "type": "definition", "offset": [86, 95]}, {"key": "changes-in", "type": "definition", "offset": [292, 302]}, {"key": "forest-practices", "type": "definition", "offset": [303, 319]}, {"key": "sensitivity-analysis", "type": "definition", "offset": [321, 341]}, {"key": "increase-and-decrease", "type": "clause", "offset": [513, 534]}, {"key": "the-assumption", "type": "clause", "offset": [610, 624]}, {"key": "associated-with", "type": "definition", "offset": [625, 640]}, {"key": "number-of", "type": "clause", "offset": [690, 699]}, {"key": "to-determine", "type": "clause", "offset": [737, 749]}, {"key": "current-performance", "type": "clause", "offset": [899, 918]}, {"key": "other-assumptions", "type": "clause", "offset": [975, 992]}, {"key": "community-forest", "type": "definition", "offset": [1527, 1543]}, {"key": "retention-requirements", "type": "definition", "offset": [1635, 1657]}, {"key": "management-recommendations", "type": "clause", "offset": [1694, 1720]}, {"key": "year-period", "type": "definition", "offset": [1806, 1817]}, {"key": "duration-of", "type": "definition", "offset": [1990, 2001]}, {"key": "data-package", "type": "definition", "offset": [2064, 2076]}], "snippet": "This section briefly describes the sensitivity analyses that will be performed on the base case. The sensitivities reflect the stability of the base case in the face of uncertainty surrounding specific analysis assumptions. They also reflect the impact of alternative management or potential changes in forest practices. Sensitivity analysis provides a measure of the reasonable upper and lower bounds of the harvest forecast, reflecting the uncertainty of assumptions made in the base case. The magnitude of the increase and decrease in the sensitivity variable reflects the degree of uncertainty surrounding the assumption associated with that given variable. By developing and testing a number of sensitivity analyses, it is possible to determine which variables most influence results. To allow meaningful comparison of sensitivity analyses, they are usually performed using the base case (i.e. current performance) and varying only the assumption being tested (i.e. all other assumptions remain the same as in the base case). The sensitivities that will be carried out for this analysis are listed in Table 31. Issue Sensitivity Test Growth and Yield Adjust natural stand yields by \u00b1 10% Adjust managed stand yields by \u00b1 5% Adjust minimum harvest age by \u00b1 10 years Adjust minimum harvest volume to 100 m3/ha Adjust stand productivity \u00b1 3 meters Adjust regen delay in beetle-killed stands, NSIFS to define Remove \u2587\u2587\u2587\u2587\u2587\u2587\u2587\u2587\u2587 from AAC Landbase classification Adjust net harvesting landbase (THLB) by \u00b1 10% Adjust landbase for Community Forest and Woodlots expansions Resource Emphasis Adjust greenup height in IRM by \u00b1 1 metre Visual retention requirements \u00b1 5% Temperature Sensitive Streams, management recommendations Harvest Flow Alternative harvest queue, random vs. oldest first Extend uplift for 20 year period at highest level possible MPB Adjust shelf-life assumptions, NSIFS to define Beetle spread rates, \u00b1 5 years Managed stand mortality, MoFR Region to define Adjacency Adjust duration of spatial adjacency rules by \u00b1 10 years \u2587\u2587\u2587\u2587\u2587\u2587\u2587 TSA TSR 4 Draft Data Package", "size": 1, "samples": [{"hash": "DieDjKO8Cm", "uri": "/contracts/DieDjKO8Cm#sensitivity-analyses", "label": "Innovative Forestry Practices Agreement", "score": 17.0, "published": true}], "hash": "b9a55dc057d0fde0ea15a081d51ebacf", "id": 4}, {"snippet_links": [{"key": "zip-code", "type": "definition", "offset": [82, 90]}, {"key": "the-participant", "type": "clause", "offset": [118, 133]}, {"key": "census-tract", "type": "definition", "offset": [134, 146]}, {"key": "data-set", "type": "definition", "offset": [165, 173]}, {"key": "final-model", "type": "clause", "offset": [271, 282]}, {"key": "associated-with", "type": "definition", "offset": [412, 427]}, {"key": "living-in", "type": "definition", "offset": [500, 509]}, {"key": "type-of", "type": "definition", "offset": [557, 564]}, {"key": "sexual-intercourse", "type": "definition", "offset": [565, 583]}, {"key": "anal-intercourse", "type": 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"type": "definition", "offset": [3730, 3738]}, {"key": "numbers-of-participants", "type": "clause", "offset": [3836, 3859]}, {"key": "the-challenges", "type": "clause", "offset": [4007, 4021]}, {"key": "risk-in", "type": "clause", "offset": [4079, 4086]}, {"key": "the-study", "type": "definition", "offset": [4296, 4305]}, {"key": "high-quality", "type": "clause", "offset": [4344, 4356]}, {"key": "living-with", "type": "definition", "offset": [4380, 4391]}, {"key": "hiv-infection", "type": "definition", "offset": [4412, 4425]}, {"key": "the-southern", "type": "clause", "offset": [4429, 4441]}, {"key": "study-participants", "type": "definition", "offset": [4451, 4469]}, {"key": "agree-to", "type": "clause", "offset": [4470, 4478]}, {"key": "the-majority", "type": "clause", "offset": [4586, 4598]}, {"key": "subject-to", "type": "clause", "offset": [4851, 4861]}, {"key": "alternative-forms", "type": "clause", "offset": [4890, 4907]}, {"key": "data-collection", "type": "clause", "offset": [4911, 4926]}, {"key": "future-research", "type": "clause", "offset": [4977, 4992]}, {"key": "not-included", "type": "clause", "offset": [5029, 5041]}, {"key": "individual-characteristics", "type": "clause", "offset": [5067, 5093]}, {"key": "alcohol-and-substance-use", "type": "clause", "offset": [5153, 5178]}, {"key": "address-information", "type": "clause", "offset": [5303, 5322]}, {"key": "with-respect-to", "type": "clause", "offset": [5356, 5371]}, {"key": "the-activity", "type": "clause", "offset": [5435, 5447]}, {"key": "increased-risk", "type": "clause", "offset": [5578, 5592]}, {"key": "hiv-status", "type": "definition", "offset": [5911, 5921]}, {"key": "to-establish", "type": "definition", "offset": [6136, 6148]}, {"key": "development-of", "type": "clause", "offset": [6301, 6315]}, {"key": "health-and", "type": "clause", "offset": [6383, 6393]}], "snippet": "We conducted sensitivity analyses, removing the 15 participants from Alabama with ZIP code STI prevalence assigned to the participant census tract from the analytic data set, to explore potential bias introduced by this substitution. The rounded odds ratio estimates for Final Model with and without these 15 participants were the same for all outcomes. Our analyses reveal that neighborhood characteristics are associated with sexual risk behaviors among women HIV-infected and HIV-uninfected women living in the South and that these relationships vary by type of sexual intercourse. Specifically, greater social disorder was associated with a lower odds of AI and UAI. Neighborhood characteristics were not associated with UVI in our sample. Unprotected receptive anal intercourse confers high risk of transmission of STIs, including HIV.42,50 Studies exploring individual-level predictors of UAI among women suggest that UAI may be influenced by complex social and economic factors, yet no multilevel studies in which individuals are nested in neighborhoods have explored relationships of neighborhoods characteristics to UAI specifically.42,43,51 In this analysis, greater social disorder was associated with a lower odds of UAI. The direction of this relationship was unexpected. Elements of the neighborhood disorder component, including STI prevalence and violent crime, are associated with partner concurrency, STI acquisition, and greater perceived sexual partner risk.21,22,27 It is possible that women living in neighborhoods with greater social disorder perceived their partners to be riskier, and that these perceptions discouraged engaging in AI or promoted condom use during AI.52-54 Notably, the reduced models which tested associations between tract-level social disorder, AI, and UAI, excluding participant-level characteristics that may lie on the causal pathway (i.e., income, QOL, alcohol and illicit substance use, sex exchange, and homelessness), found that excluding these participant-level characteristics attenuated relationships towards the null. Latkin and colleagues found that individual perceptions of neighborhood social disorder are influenced by individual- and network-level characteristics and that relationships of social disorder to sexual risk are complex.49,55 It is possible that women who are homeless or engaged in high risk activities (e.g., sex exchange) may be more acutely aware of their neighborhood environments and consequently may perceive their neighborhoods to be more socially-disordered.55 Additional research is needed to explore the direct and indirect pathways through which neighborhood social disorder influences sexual risk.56 To our knowledge, only three multilevel studies in which individuals are nested in neighborhoods have explored relationships of neighborhood characteristics to unprotected sex in heterosexual adults; none of these studies distinguish between types of sexual intercourse (e.g., UVI vs. UAI).18,24,33 Our finding that the relationships between neighborhood characteristics and sexual risk behaviors vary by the type of sex underscores the importance of evaluating these outcomes independently. Two of these three studies found no relationship between neighborhood economic characteristics (e.g., median income, unemployment) and unprotected sexual intercourse.18,33 This is consistent with our own finding that the social disorder component, which includes measures of tract-level poverty and unemployment, was not associated with UVI. A third study, by Green and colleagues, found that lower sex ratios were associated with unprotected sexual intercourse among women.24 In our predominantly African American sample, the vast majority of women lived in tracts with ratios of men to women well below equity and as a result, we did not have sufficient numbers of participants living in tracts with equitable or excess ratios of men to women to test relationships between sex ratios and sexual risk. Past research has cited the challenges of exploring relationships between sex ratios and sexual risk in predominantly African American populations in light of persistent social inequities (e.g., incarceration) which contribute to a shortage of male partners.17,26 These findings should be interpreted in light of the study\u2019s limitations. Although the WIHS is a high quality, large sample of women living with and at increased of HIV infection in the Southern US, WIHS study participants agree to indefinite, long-term study follow-up and may not be representative of the broader US population. Notably, the majority of HIV-infected participants were recruited from clinic-based populations and may not be representative of HIV-infected women who are not connected to HIV care. Participant-level data were collected using interviewer-administered surveys, which may be subject to social desirability bias.57 Alternative forms of data collection (e.g., computer-assisted) would be preferable for future research in this area. Participants who were not included in the analysis reported individual characteristics associated with increased sexual risk (i.e., lower income, alcohol and substance use, sex exchange) and may have lived in qualitatively different neighborhoods. Notably, participants with and without geocoded address information were not statistically different with respect to UVI, AI, or UAI. Residential census tracts may fail to capture the activity spaces in which sexual risk behaviors most frequently occur. However, past studies have found that individuals living with and at increased risk of HIV tend to select sexual partners in closer proximity than lower risk populations.58,59 Despite these limitations, this is the first multilevel study to test relationships between neighborhood characteristics and AI and UAI and the first to explore relationships between neighborhoods and sexual risk behaviors by HIV status. Collectively, these findings support past research on the importance of neighborhood environments in shaping sexual risk among women living in the South. Additional longitudinal and qualitative studies are needed to establish the causality of these relationships and to better understand the pathways through which neighborhood characteristics shape sexual risk, and inform the development of future multilevel interventions designed to improve women\u2019s sexual health and reduce HIV/STI transmission.", "size": 1, "samples": [{"hash": "8cn7sVv9C6Y", "uri": "/contracts/8cn7sVv9C6Y#sensitivity-analyses", "label": "Distribution Agreement", "score": 25.4547119141, "published": true}], "hash": "64f077f7626613f8ad9170902bcf91c0", "id": 5}, {"snippet_links": [{"key": "development-of-the", "type": "clause", "offset": [7, 25]}, {"key": "hiv-positive", "type": "definition", "offset": [287, 299]}, {"key": "having-a", "type": "definition", "offset": [304, 312]}], "snippet": "In the development of the HIV-ERSD cohort, those who were preemptively referred or waitlisted were excluded. Those who were preemptively referred and waitlisted were compared to those to evaluate the differences between the two groups. Additionally, one of the classifications for being HIV positive was having a prescription for an antiretroviral regimen. Though, only patients who used Medicare to fill their prescriptions were captured. Differences between those who had a Medicare prescription claim and those who did not was assessed.", "size": 1, "samples": [{"hash": "2UGrveB3Rvt", "uri": "/contracts/2UGrveB3Rvt#sensitivity-analyses", "label": "Distribution Agreement", "score": 29.2815532684, "published": true}], "hash": "44baa74016026f9482534cecab73b8dc", "id": 6}, {"snippet_links": [{"key": "the-design", "type": "clause", "offset": [42, 52]}, {"key": "the-study", "type": "definition", "offset": [56, 65]}, {"key": "to-maintain", "type": "clause", "offset": [326, 337]}, {"key": "for-children", "type": "clause", "offset": [389, 401]}, {"key": "the-association", "type": "clause", "offset": [568, 583]}, {"key": "table-s4", "type": "clause", "offset": [685, 693]}], "snippet": "Even though all dyads were unique, due to the design of the study, 20 parents in this sample belonged to two dyads because they participated with two children. To exclude the possibility that the results were driven by these parents, we excluded one dyad of each. We chose to remove the dyad with the lower maltreatment score to maintain as much variability as possible. The same was true for children, as 19 children participated with two parents. Again, we excluded the dyad with the lower maltreatment score. This left us with 42 dyads to repeat the main analysis. The association of RScs with maltreatment remained similar in strength in this smaller sample (\u03b2 = -.29, p =.04, see Table S4).", "size": 1, "samples": [{"hash": "414eUOVxNZS", "uri": "/contracts/414eUOVxNZS#sensitivity-analyses", "label": "Doctoral Thesis", "score": 24.9685153961, "published": true}], "hash": "ff4c551afdf5ea4c6c9345d78ced1b1e", "id": 7}, {"snippet_links": [{"key": "to-control", "type": "definition", "offset": [31, 41]}, {"key": "effect-of", "type": "clause", "offset": [50, 59]}, {"key": "missing-data", "type": "definition", "offset": [129, 141]}, {"key": "results-of-the", "type": "clause", "offset": [213, 227]}, {"key": "adjustment-for", "type": "clause", "offset": [241, 255]}, {"key": "relationship-between", "type": "clause", "offset": [369, 389]}, {"key": "appendix-1", "type": "definition", "offset": [554, 564]}, {"key": "direct-effect", "type": "definition", "offset": [695, 708]}], "snippet": "All analyses were re-estimated to control for the effect of possible confounders sex and cognitive ability (MSEL). The effect of missing data was addressed by re- estimating the models with listwise deletion. The results of the models after adjustment for sex and with listwise deletion did not change. However, when controlling for cognitive ability at 36 months, the relationship between BI at 9 months and anxiety at 36 months become significant; all other patterns of findings remain the same. Further results for Models 2.1 to 2.3 are summarised in Appendix 1. Table 2.3 Summary of Exploratory Mediation Analyses Predictors (24 months) Mediator (36 months) Outcome (36 months) Total Effect Direct Effect Indirect Effect (95% CI Bootstrap) Percentage of Total Effect Mediated Behavioural Inhibition ASD Anxiety .42 (.10) *** .28 (.08) ** .14 (.06, .22) ** 33 % Effortful Control ASD Anxiety -.39 (.08) *** -.09 (.09) -.31 (-.41, -.21) *** 79 % Behavioural Inhibition Anxiety ASD .28 (.10) ** .06 (.09) .22 (.12, .32) *** 79 % Effortful Control Anxiety ASD -.59 (.07) *** -.43 (.09) *** -.16 (-.25, -.08) ** 27 % 85 *** p < .001, ** p < .01, * p < .05", "size": 1, "samples": [{"hash": "fvI16eTeefe", "uri": "/contracts/fvI16eTeefe#sensitivity-analyses", "label": "End User License Agreement", "score": 22.8774814606, "published": true}], "hash": "5ced369849cd7f77fae4e10a36031ae0", "id": 8}, {"snippet_links": [{"key": "the-performance", "type": "clause", "offset": [63, 78]}, {"key": "test-results", "type": "clause", "offset": [121, 133]}, {"key": "gold-standard", "type": "definition", "offset": [141, 154]}, {"key": "the-estimate", "type": "clause", "offset": [216, 228]}, {"key": "the-assumption", "type": "clause", "offset": [246, 260]}], "snippet": "An analysis will be conducted in the Komodo database to assess the performance of a claims-based PBC definition with AMA test results as the gold standard. \u2022 Quantitative bias analysis to quantify the sensitivity of the estimate to violations of the assumption of no unmeasured confounding.", "size": 1, "samples": [{"hash": "72DxMfdZY7q", "uri": "/contracts/72DxMfdZY7q#sensitivity-analyses", "label": "Investigator's Agreement", "score": 34.9897918701, "published": true}], "hash": "8e2c95252f99a5ee5582c5ea9ee774ea", "id": 9}, {"snippet_links": [{"key": "the-financial", "type": "clause", "offset": [55, 68]}, {"key": "changes-to", "type": "clause", "offset": [89, 99]}, {"key": "load-growth", "type": "definition", "offset": [100, 111]}, {"key": "power-costs", "type": "definition", "offset": [113, 124]}, {"key": "project-timing", "type": "clause", "offset": [126, 140]}, {"key": "project-funding", "type": "definition", "offset": [155, 170]}, {"key": "other-changes", "type": "definition", "offset": [200, 213]}, {"key": "by-the-city", "type": "clause", "offset": [224, 235]}, {"key": "task-4", "type": "clause", "offset": [237, 243]}, {"key": "service-analysis", "type": "clause", "offset": [253, 269]}, {"key": "the-cost", "type": "clause", "offset": [270, 278]}, {"key": "cost-shares", "type": "clause", "offset": [355, 366]}, {"key": "for-the-city", "type": "definition", "offset": [394, 406]}, {"key": "development-of-a", "type": "clause", "offset": [450, 466]}, {"key": "based-on", "type": "definition", "offset": [490, 498]}, {"key": "customer-data", "type": "clause", "offset": [499, 512]}, {"key": "planning-criteria", "type": "definition", "offset": [531, 548]}, {"key": "cost-recovery", "type": "definition", "offset": [567, 580]}, {"key": "specific-consideration", "type": "clause", "offset": [636, 658]}, {"key": "will-be-given", "type": "clause", "offset": [659, 672]}, {"key": "utility-costs", "type": "definition", "offset": [682, 695]}, {"key": "the-functions", "type": "definition", "offset": [715, 728]}, {"key": "exhibit-1", "type": "definition", "offset": [743, 752]}, {"key": "unbundled-cost", "type": "definition", "offset": [787, 801]}, {"key": "service-functions", "type": "clause", "offset": [805, 822]}, {"key": "by-service", "type": "clause", "offset": [888, 898]}, {"key": "preparation-of", "type": "clause", "offset": [911, 925]}, {"key": "for-example", "type": "clause", "offset": [963, 974]}, {"key": "distributed-generation", "type": "clause", "offset": [977, 999]}], "snippet": "Offer up to three (3) sensitivity analyses to evaluate the financial and rate impacts of changes to load growth, power costs, project timing and priority, project funding, conservation initiatives or other changes specified by the City. TASK 4: COST-OF-SERVICE ANALYSIS The cost-of-service analytical task will establish a defensible basis for assigning \u201ccost shares\u201d and establishing \u201cequity\u201d for the City\u2019s customers. This is accomplished with the development of a series of allocations, based on customer data and engineering / planning criteria to assign utility cost recovery to customers in proportion to their estimated demands. Specific consideration will be given to total utility costs in relationship to the functions identified in Exhibit 1. We have included traditional and unbundled cost-of-service functions. The unbundling analysis has proven beneficial in aligning rates by service function in preparation of meeting alternative service requests for example - distributed generation.", "size": 1, "samples": [{"hash": "bf4GExkSY3S", "uri": "/contracts/bf4GExkSY3S#sensitivity-analyses", "label": "Professional Services", "score": 31.2004470825, "published": true}], "hash": "b2ca356fb0a18794ffb15d40b56af339", "id": 10}], "next_curs": "Cl0SV2oVc35sYXdpbnNpZGVyY29udHJhY3RzcjkLEhZDbGF1c2VTbmlwcGV0R3JvdXBfdjU2Ih1zZW5zaXRpdml0eS1hbmFseXNlcyMwMDAwMDAwYQyiAQJlbhgAIAA=", "clause": {"title": "Sensitivity Analyses", "size": 20, "parents": [["results", "Results"], ["strategic-objectives", "Strategic Objectives"], ["sensitivities", "Sensitivities"], ["longitudinal-investigations-of-asd", "Longitudinal investigations of ASD"], ["synopsis", "SYNOPSIS"]], "children": [["", ""], ["nsyt-adjustment", "NSYT Adjustment"], ["net-landbase-compared-to-psp-distribution", "NET LANDBASE COMPARED TO PSP DISTRIBUTION"], ["cull", "Cull"], ["gypsy-volume-function-prediction-bias", "GYPSY Volume Function Prediction Bias"]], "id": "sensitivity-analyses", "related": [["quantitative-analysis", "Quantitative Analysis", "Quantitative Analysis"], ["studies", "Studies", "Studies"], ["risk-analysis", "Risk Analysis", "Risk Analysis"], ["study", "Study", "Study"], ["special-analyses", "Special Analyses", "Special Analyses"]], "related_snippets": [], "updated": "2025-07-24T06:49:05+00:00"}, "json": true, "cursor": ""}}