Results

Total Results: 1,473 records

Showing results for "estimating".

  1. S103 (pdf file)

    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.
  2. Layout 1 (pdf file)

    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
  3. effectivehealthcare.ahrq.gov/products/grant-manuscripts/randomized-clinical-trials-abstract
  4. 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.
  5. 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
  6. 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 estimatingEstimating the causal effect of zidovudine on CD4 count with a marginal structural model for repeated … Estimating causal effects from epidemiological data.
  7. S108 (pdf file)

    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.
  8. 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
  9. 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
  10. 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
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. S38 (pdf file)

    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
  16. 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.
  17. 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.
  18. 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
  19. 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
  20. 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.

Search the AHRQ Archive

Information and reports more than 5 years old may be found in the AHRQ Archive site.

Search Archive

Search Within A Specific AHRQ Site

You selected to view results for the following site: