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  1. effectivehealthcare.ahrq.gov/sites/default/files/considerations-for-statistical-chapter-10.pptx
    January 01, 2013 - Generalized estimating equations are a frequently used approach to account for correlated data. … Abbreviations: ANOVA = analysis of variance GEE = generalized estimating equations GLMM = generalized … Estimating causal effects from epidemiological data.
  2. S149 (pdf file)

    effectivehealthcare.ahrq.gov/sites/default/files/s149.pdf
    October 01, 2007 - Objectives: We developed a method of estimating effects of longi- tudinal treatments that uses subclassification … For a particular longitudinal treatment, we are inter- ested in estimating outcome quantities such as … The 6-step algorithm for estimating contrasts in outcomes, between these treatment regimes, is as follows … Estimating causal effects of treatments in randomized and non-randomized studies.
  3. effectivehealthcare.ahrq.gov/sites/default/files/related_files/medical-test-reviews-options-summarizing.ppt
    June 01, 2012 - ) Describe sources of potential bias resulting from the use of an imperfect reference standard when estimating … A cautionary note on the robustness of latent class models for estimating diagnostic error without a … Estimating disease prevalence in the absence of a gold standard. … A cautionary note on the robustness of latent class models for estimating diagnostic error without a … Estimating disease prevalence in the absence of a gold standard.
  4. effectivehealthcare.ahrq.gov/sites/default/files/medical-test-reviews-options-summarizing.ppt
    June 01, 2012 - ) Describe sources of potential bias resulting from the use of an imperfect reference standard when estimating … A cautionary note on the robustness of latent class models for estimating diagnostic error without a … Estimating disease prevalence in the absence of a gold standard. … A cautionary note on the robustness of latent class models for estimating diagnostic error without a … Estimating disease prevalence in the absence of a gold standard.
  5. effectivehealthcare.ahrq.gov/sites/default/files/suppl-2-user-guide-to-ocer_130129.pdf
    January 01, 2011 - Estimating Causal Effects The primary goal of nonexperimental comparative effectiveness research is … This bias occurs from estimating the average causal effect within “selected” stratum, then averaging … Estimating causal effects from epidemiological data.
  6. effectivehealthcare.ahrq.gov/products/observational-research-scores/research
    May 15, 2012 - The performance of different propensity score methods for estimating marginal odds ratios. … Estimating exposure effects by modeling the expectation of exposure conditional on confounders. … The performance of different propensity score methods for estimating marginal odds ratios. … The role of the propensity score in estimating dose-response functions. … Estimating causal effects from large data sets using propensity scores.
  7. effectivehealthcare.ahrq.gov/products/instrumental-variable-methods/research
    May 14, 2010 - On estimating efficacy from clinical trials. Stat Med 1991;10:45-52. 60. … Estimating probit models with self-selected treatments. Stat Med 2006;25:389-413. 63. Foster EM.
  8. effectivehealthcare.ahrq.gov/sites/default/files/pdf/instrumental-variable-methods_research.pdf
    April 01, 2010 - On estimating efficacy from clinical trials. Stat Med 1991;10:45-52. 60. … Estimating probit models with self-selected treatments. Stat Med 2006;25:389-413. 63.
  9. effectivehealthcare.ahrq.gov/sites/default/files/pdf/continuous-outcomes-quantitative-synthesis_methods.pdf
    March 01, 2011 - Options 3 and 4 are equivalent statistically in terms of estimating the effect measure. … For estimating SD, the most common practice has been to simply compute it from the range or IQR. … Estimating the mean and variance from the median, range, and the size of a sample. … Estimating the mean effect size in meta- analysis: bias, precision, and mean squared error of different
  10. S166 (pdf file)

    effectivehealthcare.ahrq.gov/sites/default/files/s166.pdf
    October 01, 2007 - Validity of indirect comparison for estimating efficacy of competing interventions: empirical evidence
  11. effectivehealthcare.ahrq.gov/sites/default/files/pdf/observational-research-scores_research.pdf
    May 01, 2012 - The performance of different propensity score methods for estimating marginal odds ratios. … Estimating exposure effects by modeling the expectation of exposure conditional on confounders. … The performance of different propensity score methods for estimating marginal odds ratios. … The role of the propensity score in estimating dose-response functions. … Estimating causal effects from large data sets using propensity scores.
  12. effectivehealthcare.ahrq.gov/sites/default/files/pdf/bivariate-methods-utility_research.pdf
    November 01, 2012 - specificity pairs reported from diagnostic test accuracy studies employ a variety of statistical models for estimating … model with the exact likelihood may occasionally fail to converge, often due to difficulties in estimatingEstimating diagnostic accuracy from multiple conflicting reports: a new meta-analytic method.
  13. effectivehealthcare.ahrq.gov/sites/default/files/pdf/methods-guidance-tests-performance_methods.pdf
    July 01, 2012 - Estimating disease prevalence in the absence of a gold standard. … A cautionary note on the robustness of latent class models for estimating diagnostic error without
  14. effectivehealthcare.ahrq.gov/sites/default/files/pdf/horizon-scan_research-2015.pdf
    January 01, 2015 - Nonetheless, they do suggest that estimating short-term cost impacts is possible for novel health care … prevalence (the number of patients in the target population eligible for the new intervention) and estimating
  15. S116 (pdf file)

    effectivehealthcare.ahrq.gov/sites/default/files/s116.pdf
    October 01, 2007 - parameters and standard errors for all multivariable models were estimated robustly using a gener- alized estimating … Models for longitudinal data: a generalized estimating equation approach.
  16. effectivehealthcare.ahrq.gov/sites/default/files/methodsguide_conductingquantitativesynthesis.pdf
    October 01, 2010 - Validity of indirect comparison for estimating efficacy of competing interventions: empirical evidence … Estimating number of events from the Kaplan-Meier curve for incorporation in a literature-based meta-analysis
  17. effectivehealthcare.ahrq.gov/sites/default/files/pdf/methods-guidance-quantitative-synthesis_methods.pdf
    October 01, 2010 - Validity of indirect comparison for estimating efficacy of competing interventions: empirical evidence … Estimating number of events from the Kaplan-Meier curve for incorporation in a literature-based meta-analysis
  18. effectivehealthcare.ahrq.gov/sites/default/files/estimation-and-reporting_chapter-3.pptx
    January 01, 2013 - This presentation covers chapter 3 of the User’s Guide and focuses on estimating and reporting heterogeneity
  19. effectivehealthcare.ahrq.gov/sites/default/files/pdf/statistical-inference_research.pdf
    April 01, 2013 - Rns δ δ δ = − = ∑   • Finally, the particular formulas for estimating the sampling variances … Bias As Figure 15 shows, two ES indexes present no bias in estimating the parametric ES, ds1 and ds2 … The performance of the two first is the same as those estimating a parametric ES in raw-score metric … correlation in calculating the ES, all solutions except Gibbons et al.,23 use the correlation in estimating … between change- and raw-score metrics; the latter always assumes a 0.5 correlation between measures in estimating
  20. effectivehealthcare.ahrq.gov/products/treatment-effects-estimates-tool/research
    December 02, 2009 - Development of a Software Tool for Obtaining Doubly Robust Estimate of Treatment Effects Research Report December 2, 2009 Download Main Document PDF 243.4 KB Related Files Download SAS Macro (Plain Text Version) [TXT · 19.6 KB] Download SAS Macro End User License Agreement [PDF · 12 KB] Download SAS Mac…

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