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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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
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effectivehealthcare.ahrq.gov/sites/default/files/s166.pdf
October 01, 2007 - Validity of indirect comparison
for estimating efficacy of competing interventions: empirical evidence
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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.
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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
estimating … Estimating
diagnostic accuracy from multiple
conflicting reports: a new meta-analytic
method.
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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
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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
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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.
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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
-
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
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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
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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
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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
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