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effectivehealthcare.ahrq.gov/sites/default/files/s103.pdf
October 01, 2007 - Researchers are often most interested in estimating a
difference that they cannot observe—what they would … cumulative incidence
rates in the presence of competing risks).11 The denominator
of the estimating … Suppose we are interested in estimating 3-year
medical costs, and an individual is lost to follow-up … Estimating causal effects of treatments in randomized and
nonrandomized studies. … Estimating medical costs with censored data.
Biometrika. 2000;87:329–343.
17.
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effectivehealthcare.ahrq.gov/sites/default/files/related_files/head-neck-cancer_executive.pdf
May 01, 2010 - Estimating between-group differences in disease-
specific and overall survival is complex and requires … Estimating between-group differences in disease-
specific and overall survival is complex and requires … Estimating between-group differences in disease-
specific and overall survival is complex and requires
-
effectivehealthcare.ahrq.gov/products/grant-manuscripts/randomized-clinical-trials-abstract
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effectivehealthcare.ahrq.gov/sites/default/files/suppl-1-user-guide-to-ocer_130129.pdf
January 01, 2011 - ATE and ATU are “identified” by
estimating ATT through the assumption
that providers do not have knowledge … Within each X
1M
stratum, the ATE and
ATU are “identified” by estimating ATT
through the assumed … ATE and ATU are “identified” within
each X
1M
stratum by estimating this LATE
through the assumed … ATE and ATU are “identified”
by estimating this LATE through the
assumption that X
4M
and X
2U … Estimating causal effects from large
data sets using propensity scores.
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effectivehealthcare.ahrq.gov/sites/default/files/pdf/TND_0251_05-20-2010.pdf
January 01, 2010 - care setting and what is the evidence for the validity and reliability of various
instruments for estimating
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effectivehealthcare.ahrq.gov/sites/default/files/ch_10-user-guide-to-ocer_130129.pdf
January 01, 2011 - Generalized
estimating equations (GEE) are a frequently
used approach to account for correlated data … regression Multilevel (mixed)
Poisson regression
ANOVA = analysis of variance; GEE = generalized estimating … constructing a matched control group are provided
by Stuart and Rubin.30 Care must be taken when
estimating … Estimating
the causal effect of zidovudine on CD4 count
with a marginal structural model for repeated … Estimating causal
effects from epidemiological data.
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effectivehealthcare.ahrq.gov/sites/default/files/s108.pdf
October 01, 2007 - Introduction: We used agent-based simulation to examine the
problem of time-varying confounding when estimating … We have
demonstrated that this is a relevant problem when estimating
the effect of an adverse event on … Estimating the causal effect of
zidovudine on CD4 count with a marginal structural model for repeated … Estimating causal effects from epidemiological
data. … Estimating causal effects from large data sets using propensity
scores.
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effectivehealthcare.ahrq.gov/sites/default/files/related_files/breast-abnormalities-tests-update_disposition-comments.pdf
February 13, 2012 - We have modified text throughout the document to clarify the difficulty
of precisely estimating the … We have modified text throughout the document to clarify the difficulty
of precisely estimating the … We have modified text throughout the document to clarify the difficulty
of precisely estimating the … We have modified text throughout the document to clarify the difficulty
of precisely estimating the … We have modified text throughout the document to clarify the difficulty
of precisely estimating the
-
effectivehealthcare.ahrq.gov/sites/default/files/related_files/primary-healthcare-spending-technical-brief-protocol.pdf
January 01, 2023 - this information by including: 1) the advantages and
disadvantages of the different approaches to estimating … search strategies of search terms and
medical subject headings (MeSH) for definitions and methods of estimating … information from each study, such as characteristics of study
populations, details on methodologies used for estimating
-
effectivehealthcare.ahrq.gov/sites/default/files/pdf/ehc-presentation-quantitative-synthesis-chapter-3.pdf
February 01, 2018 - Profile Likelihood (PL)
methods generally performs best.6
► They better account for uncertainty in estimating … poorly for rare binary events (e.g., adverse events)
• PL methods:
► Better account for uncertainty in estimating
-
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.
-
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/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.
-
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.
-
effectivehealthcare.ahrq.gov/sites/default/files/s38.pdf
October 01, 2007 - In many settings, one can
use standard approaches for estimating sample size, assuming
no clustering, … characteristics from a logistic regression
model accounting for clustering within practices by generalized estimating … characteristics from a logistic regression
model accounting for clustering within practices by generalized estimating
-
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.
-
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.
-
effectivehealthcare.ahrq.gov/sites/default/files/related_files/head-neck-cancer_surveillance.pdf
August 01, 2012 - Estimating between-group
differences in disease-specific and overall survival
is complex and requires … Estimating between-group differences
in disease-specific and overall survival is complex
and requires … Estimating between-group differences
in disease-specific and overall survival is complex
and requires … Estimating between-group differences in disease-
specific and overall survival is complex and requires
-
effectivehealthcare.ahrq.gov/sites/default/files/related_files/evidence-summary-cer-195-uterine-fibroids-final.pdf
December 01, 2017 - that allowed estimation of the risk of progression of
leiomyosarcoma by type of morcellation used, estimating … Thus the available data
produces wide confidence intervals for broad groups of
women when estimating … meta-estimates related to leiomyosarcoma risk,
available evidence based on pathology specimens for
estimating … As a rule, data for estimating rare
events is volatile, which is demonstrated by the changes
in prevalence … The risk of inaccuracy is especially true in understanding
and estimating the degree to which morcellation
-
effectivehealthcare.ahrq.gov/sites/default/files/pdf/copd-anticholinergic-medicines_research.pdf
December 01, 2009 - A
comparison of propensity score
methods: a case-study estimating the
effectiveness of post-AMI statin … The use of the
propensity score for estimating
treatment effects: administrative versus
clinical data … Estimating causal effects
from large data sets using propensity
scores.