Table A3 Sample Clauses

Table A3. Distribution of patient results using each of the three screening methods with patients with unconfirmed negative results characterized as COVID-19 positive, n = 531 NTS COVID positive NTS COVID negative ROS COVID positive ROS COVID negative Attending physician PA COVID positive Attending physician PA COVID negative COVID 70 79 79 70 108 41 test positive COVID 104 278 138 244 61 321 test negative Table A4 Comparison of performance of three different ED screening methods with patients with unconfirmed negative results characterized as COVID-19 positive, n = 531 Sensitivity Specificity PPV NPV (95% CI) (95% CI) (95% CI) (95% CI) NTS 0.47 (0.39-0.55) 0.73 (0.68-0.77) 0.40 (0.33-0.48) 0.78 (0.73-0.82) XX XXX 0.53 (0.43-0.61) 0.64 (0.59-0.69) 0.36 (0.30-0.43) 0.78 (0.73-0.82) Attending physician PA 0.72 (0.65-0.79) 0.84 (0.80-0.87) 0.64 (0.56-0.71) 0.89 (0.85-0.92) REFERENCES
Sample 1Sample 2
AutoNDA by SimpleDocs
Table A3. Results, multinomial logistic regression (Bs): habitual attendants compared to consis- tently religious people Model 1 Model 2 Model 3a Model 3b Model 4a Model 4b individual individual + individual + individual + individual + cohort individual + cohort − − − − − − Intercept 2.517*** 1.354* 5.644*** 4.309*** 2.590*** 1.395 SOCON 1.205*** 1.063*** .691** .755*** .841*** .817*** Individual effects: Education .310*** −.059 .052 .047 .084 .048 Income −.081 −.164 .011 .014 −.052 −.026 Single −.049 1.034** −.043 −.045 −.012 −.006 * * * * * Christian socialization −1.168*** −1.950*** −1.241*** −1.257*** −1.295*** −1.306*** Male .261 .351 .346 .351 .351 .365 Age .004 −.007 −.005 −. 005 .016* .020** Degree of urbanization −.045 −.014 .005 .004 .010 .014 Changing individual effects Highly educated .012 High income .022* − Single .042** Christian socialized .035*** Period and cohort effects: Educational expansion Not tested .062*** Not tested .094*** Development of social security .055* .021 .072*** Not tested Changing patterns of cohabitation .067*** Not tested −.064** −.124*** Diminishing Christian socialization .016 .017 .012 .015 R2 Nagelkerke .293 .342 .347 .350 .348 .354 Number of respondents 6,949 6,949 6,949 6,949 6,949 6,949
Sample 1Sample 2
Table A3. Descriptive Statistics of Biological and Social Fathers' Parenting at Five-Year Survey, by Biological Father Recent Incarceration Biological father recently incarcerated Biological father not recently incarcerated Biological father Social father Biological father Social father Engagement 0.478 3.654 *** 1.046 3.670 *** Shared responsibility in parenting 1.452 3.750 *** 1.674 3.583 *** Cooperation in parenting 2.705 2.814 2.738 2.861 N 26 26 36 36 Note: Sample restricted to observations in which mothers are living with the child's biological father at the three-year survey, have broken up with the biological father at the five-year survey, and are living with a social father at the five-year survey. Asterisks for statistical significance compare biological father parenting and social father parenting when biological father was and was not recently incarcerated. *** p
Sample 1
Table A3. “Ever Use” of WaterGuard and Sprinkles at Household and Individual-Levels
Sample 1
Table A3. 1: The 11th Five-Year Plan and Financing Plan (FY2008-FY2012) Generation Linked Projects 12,947 Grid Strengthening Projects 3,637 Inter-Regional/Inter-Country Link 2,022 ULDC and Others 144 POWERGRID Public Sector Projects ADB 600 Foreign Borrowings1/Supplier's Credit 3,150 Bonds / Domestic Loans 5,875 Internal Resources 4,125 Public-Private Partnership (JV) of which JV Investment from POWERGRID (107) Private Sector Financing 5,000 Private Sector Investment Independent Transmission Companies Total 18,750 Investment Plan Amount ($ million) 18,750 Total Amount ($ million) Financing Plan ADB Staff Estimate. 1/ May include additional non-sovereign loans and MFF from ADB and other multilateral and bilateral sources.
Sample 1
Table A3. 2: List of Investment Projects by POWERGRID under the 11th Five-Year Plan (FY2008-FY2012)
Sample 1
Table A3. 2 Comparison of survey respondents to the population on gender* PYW 2020 Sample (N = 856) n (%) other/ n (%) female n (%) male no answer n (%) female 2020 Population n (%) male n (%) other/ missing CDJA 40 (22.3) 138 (77.1) 1 (0.6) 586 (29.3) 1406 (70.4) 5 (0.3) XXXXX* 00 (50.8) 26 (41.3) 5 (8.0) - - - JD 69 (33.3) 137 (66.2) 1 (0.5) 1251 (28.8) 2809 (64.8) 278 (6.4)** JS 35 (36.8) 60 (63.2) 0 (0.0) 595 (32.0) 1252 (67.4) 10 (0.5) PpF 12 (42.9) 16 (57.1) 0 (0.0) 579 (40.7) 841 (59.1) 3 (0.2) PINK!* 14 (58.3) 8 (33.3) 2 (8.3) - - - SGPJ 110 (42.3) 147 (56.5) 3 (1.2) 2102 (49.1) 2156 (50.4) 21 (0.5) Total 312 (36.4) 532 (62.1) 12 (1.4) 5113 (36.8) 8464 (60.9) 317 (2.3) Note. Population demographics were received via personal communication. Nonresponse is excluded. *DWARS & PINK! do not register the gender of their members. **The JD stopped registering gender since 2019 (missing cases = 81). Table A3.3 Comparison of survey respondents to the population on age PYW 2020 Sample (N = 849) <21 y/o >=21 y/o n (%) n (%) 2020 Population <21 y/o >=21 y/o n (%) n (%) CDJA 45 (25.6) 131 (74.4) 274 (14.0) 1683 (86.0) DWARS 20 (31.7) 43 (68.3) 816 (17.5) 3850 (82.5) JD 44 (21.4) 162 (78.6) 414 (9.6) 3890 (90.4) JS 31 (32.3) 65 (67.7) 259 (14.1) 1579 (85.9) PpF 5 (17.9) 23 (82.1) 132 (9.3) 1290 (90.7) PINK! 2 (8.7) 21 (91.3) 17 (0.8) 2117 (99.2) SGPJ 122 (47.5) 135 (52.5) 2925 (68.4) 1354 (31.6) Total 269 (31.7) 580 (68.3) 4837 (23.48) 15763 (76.52) Note. Population demographics were received via personal communication in 2019. The age of respondents in the sample was calculated by extracting the year of birth from 2019. Nonresponse analysis: geography Is there a need to adjust for survey nonresponse by geography? Most party youth wings reported the distribution of their members over the various branches or provinces, enabling for a comparison with the distribution in the survey sample. Because the number of provinces in the Netherlands is too high in relation to the sample size to perform a solid nonresponse analysis, provinces are regionally grouped according to the NUTS 2016 classification of the European Union.298 This classification identifies four regions in the Netherlands: North, South, East, West. Table A3.4 presents the results. Again, no major 298 Regulation (EC) No 1059/2003, p. 30-31: North: Groningen, Friesland, Drenthe East: Overijssel, Gelderland, Flevoland West: Utrecht, Noord-Holland, Zuid-Holland, Zeeland South: Noord-Brabant, Limburg deviations are reve...
Sample 1
AutoNDA by SimpleDocs
Table A3. Causes analysis. Sources and causes Risk area Risk º The trial is open label. ⇒ The subject is disappointed by his/her randomised intervention. ⇒ The subject withdraws his/her consent or is lost of follow-up. º The investigator forgets to enter some data. Validity of Study results The proportion of missing data on the main outcome is higher than the one used for sample size calculation. º The investigator does not attend the launching meeting or he/she has received no initial training on clinical research and GCP. ⇒He/she does not master SAE notification procedure. º The investigator is overloaded. Study Participants The investigator does not notify all SAEs. º Both variables Intervention and Sex are coded with the same codes. And the IT specialist has psychological troubles and lacks attention to his/her work. º The configuration of the randomisation application is not double checked. Study Organisation While configuring the randomisation result page (the randomisation list is stratified by sex), the IT specialist uses the variable Sex instead of the variable Intervention and decodes it with the labels of the variable Intervention. Table A4. Consequences analysis. Sources and causes Risk area Risk Consequences º The trial is open label. ⇒ The subject is disappointed by his/her randomised intervention. ⇒ The subject withdraws his/her consent or is lost of follow-up. º The investigator forgets to enter some data. Validity of Study results The proportion of missing data on the main outcome is higher than the one used for sample size calculation. The conclusion is wrongly retained. º The investigator does not attend the launching meeting or he/she has received no initial training on clinical research and GCP. ⇒He/she does not master SAE notification procedure. º The investigator is overloaded. Study Participants The investigator does not notify all SAEs. Toxicity is underestimated. º Both variables Intervention and Sex are coded with the same codes. And the IT specialist has psychological troubles and lacks attention to his/her work. º The configuration of the randomisation application is not double checked. Study Organisation While configuring the randomisation result page (the randomisation list is stratified by sex), the IT specialist uses the variable Sex instead of the variable Intervention and decodes it with the labels of the variable Intervention. The randomised intervention is systematically confounded with sex. ⇒ The trial results are biased.
Sample 1

Related to Table A3

  • Table 2 Software Subscription Use Case OpenShift Enterprise OpenShift Enterprise Broker Infrastructure OpenShift Enterprise is intended to be used as a platform as a service and will be supported only when used in that capacity. OpenShift Enterprise is not supported on non-server hardware such as desktops or workstations. OpenShift Enterprise is intended for use on a dedicated Physical Node or Virtual Guest; running other applications and/or programs of any type on the Physical Node or Virtual Guest can have a negative impact on the function and/or performance. Red Hat JBoss Enterprise Application Platform for OpenShift and/or Red Hat JBoss EAP for xPaaS will be supported in accordance with the terms of Exhibit 1.B.

  • Table 4 Ending this Addendum when the Approved Addendum Changes Which Parties may end this Addendum as set out in Section 19: Importer Exporter Ending this Addendum when the Approved Addendum changes Part 2: Mandatory Clauses Entering into this Addendum

  • Table 3 .2: Worked out example of calculating the monitoring quality score of a population for population trend Attribute Country Importance Quality (qij) Weight (wij) wij × qij T MA 2 1 30.0 30.0 T MR 3 2 75.0 150.0 T SN 1 2 2.5 5.0 T GW 1 3 2.5 7.5 T GN 1 3 2.5 7.5 T SL 1 3 2.5 7.5 Sums: 115.0 207.5 Weighted mean rounded to the nearest integer: 2.0

  • Determination of Pass-Through Rates for LIBOR Certificates (a) On each Interest Determination Date so long as any LIBOR Certificates are outstanding, the Trustee will determine LIBOR on the basis of the British Bankers' Association ("BBA") "

  • Table 2 (definition of “Casino Gross Revenue”) 15(e) 2 (definition of “Commissioning”) 19 2 (definition of “Committee’s Nominated Representative) 20(1) 6(1)(c) 20(2) 7(8)(a) 21(d) 11(1) 21(e) 11(2) 22(2) 11(3) 23(b) 14(d) 33(2) 15(a)(B) 35(1) 15(b)(i) 35(2) 15(c) 36(b) 15(d) 36(c)

  • Accrual Rates All eligible employees shall accrue vacation pay according to the following rates:

  • Determination of Pass-Through Rates for COFI Certificates The Pass-Through Rate for each Class of COFI Certificates for each Interest Accrual Period after the initial Interest Accrual Period shall be determined by the Trustee as provided below on the basis of the Index and the applicable formulae appearing in footnotes corresponding to the COFI Certificates in the table relating to the Certificates in the Preliminary Statement. Except as provided below, with respect to each Interest Accrual Period following the initial Interest Accrual Period, the Trustee shall not later than two Business Days prior to such Interest Accrual Period but following the publication of the applicable Index determine the Pass-Through Rate at which interest shall accrue in respect of the COFI Certificates during the related Interest Accrual Period. Except as provided below, the Index to be used in determining the respective Pass-Through Rates for the COFI Certificates for a particular Interest Accrual Period shall be COFI for the second calendar month preceding the Outside Reference Date for such Interest Accrual Period. If at the Outside Reference Date for any Interest Accrual Period, COFI for the second calendar month preceding such Outside Reference Date has not been published, the Trustee shall use COFI for the third calendar month preceding such Outside Reference Date. If COFI for neither the second nor third calendar months preceding any Outside Reference Date has been published on or before the related Outside Reference Date, the Index for such Interest Accrual Period and for all subsequent Interest Accrual Periods shall be the National Cost of Funds Index for the third calendar month preceding such Interest Accrual Period (or the fourth preceding calendar month if such National Cost of Funds Index for the third preceding calendar month has not been published by such Outside Reference Date). In the event that the National Cost of Funds Index for neither the third nor fourth calendar months preceding an Interest Accrual Period has been published on or before the related Outside Reference Date, then for such Interest Accrual Period and for each succeeding Interest Accrual Period, the Index shall be LIBOR, determined in the manner set forth below. With respect to any Interest Accrual Period for which the applicable Index is LIBOR, LIBOR for such Interest Accrual Period will be established by the Trustee on the related Interest Determination Date as provided in Section 4.08. In determining LIBOR and any Pass-Through Rate for the COFI Certificates or any Reserve Interest Rate, the Trustee may conclusively rely and shall be protected in relying upon the offered quotations (whether written, oral or on the Reuters Screen) from the Reference Banks or the New York City banks as to LIBOR or the Reserve Interest Rate, as appropriate, in effect from time to time. The Trustee shall not have any liability or responsibility to any Person for (i) the Trustee's selection of New York City banks for purposes of determining any Reserve Interest Rate or (ii) its inability, following a good-faith reasonable effort, to obtain such quotations from the Reference Banks or the New York City banks or to determine such arithmetic mean, all as provided for in this Section 4.07. The establishment of LIBOR and each Pass-Through Rate for the COFI Certificates by the Trustee shall (in the absence of manifest error) be final, conclusive and binding upon each Holder of a Certificate and the Trustee.

  • Vacation Accrual Rates Laid off employees who are re-employed shall have the vacation accrual rate they held immediately prior to layoff restored.

  • Determination of One-Month LIBOR Pursuant to the terms of the Global Agency Agreement, the Global Agent shall calculate the Class Coupons for the applicable Classes of Notes (including MAC Notes on which the Exchange Administrator has directed the Global Agent to make payments) for each Accrual Period (after the first Accrual Period) on the applicable LIBOR Adjustment Date. “One-Month LIBOR” will be determined by using the “Interest Settlement Rate” for U.S. dollar deposits with a maturity of one month set by ICE Benchmark Administration Limited (“ICE”) as of 11:00 a.m. (London time) on the LIBOR Adjustment Date (the “ICE Method”). ICE’s Interest Settlement Rates are currently displayed on Bloomberg L.P.’s page “BBAM.” That page, or any other page that may replace page BBAM on that service or any other service that ICE nominates as the information vendor to display the ICE’s Interest Settlement Rates for deposits in U.S. dollars, is a “Designated Page.” ICE’s Interest Settlement Rates currently are rounded to five decimal places. If ICE’s Interest Settlement Rate does not appear on the Designated Page as of 11:00 a.m. (London time) on a LIBOR Adjustment Date, or if the Designated Page is not then available, One-Month LIBOR for that date will be the most recently published Interest Settlement Rate. If ICE no longer sets an Interest Settlement Rate, Freddie Mac will designate an alternative index that has performed, or that Freddie Mac (or its agent) expects to perform, in a manner substantially similar to ICE’s Interest Settlement Rate.

  • Accrual Rate Compensatory time for employees will accrue at the rate of one and one-half hours for each one hour of overtime worked.

Time is Money Join Law Insider Premium to draft better contracts faster.