Cargando…
Evidence synthesis for decision making in healthcare /
In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish interventions that are both effective and cost-effective. Usually a single study will not fully address these issues and it is desirable to synthesize evidence from multiple sources. This book aim...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Chichester, West Sussex :
Wiley,
2012.
|
| Colección: | Statistics in practice.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000 a 4500 | ||
|---|---|---|---|
| 001 | EBOOKCENTRAL_ocn770696945 | ||
| 003 | OCoLC | ||
| 005 | 20240329122006.0 | ||
| 006 | m o d | ||
| 007 | cr cnu---unuuu | ||
| 008 | 120103s2012 enk ob 001 0 eng | ||
| 010 | |a 2012000005 | ||
| 040 | |a DLC |b eng |e pn |c DLC |d EBLCP |d TEF |d N$T |d DG1 |d CDX |d YDXCP |d E7B |d COO |d TPH |d OCLCF |d DEBSZ |d UKDOC |d NLGGC |d OCLCQ |d OCLCO |d OCLCQ |d DEBBG |d D6H |d AZK |d OCLCQ |d COCUF |d DG1 |d CHVBK |d MOR |d LIP |d PIFAG |d ZCU |d MERUC |d OCLCQ |d SAV |d OCLCQ |d MERER |d OCLCO |d U3W |d OCLCO |d OCLCQ |d OCLCO |d UUM |d STF |d WRM |d NRAMU |d MUO |d ICG |d INT |d REC |d VT2 |d OCLCQ |d WYU |d UWO |d OCLCO |d OCLCA |d OCLCQ |d U3G |d DKC |d OCLCO |d OCLCQ |d UKAHL |d UX1 |d OL$ |d OCLCQ |d OCLCA |d UKCRE |d VLY |d OCLCO |d OCLCQ |d CASUM |d OCL |d OCLCO |d OCLCL | ||
| 066 | |c (S | ||
| 019 | |a 793104234 |a 794619434 |a 852511925 |a 945450210 |a 961632966 |a 962650883 |a 988527692 |a 991918242 |a 992870090 |a 1037775004 |a 1038624248 |a 1038656585 |a 1045479744 |a 1054124479 |a 1055335664 |a 1065901331 |a 1081204514 |a 1101722602 |a 1148161405 |a 1153521588 | ||
| 020 | |a 9781118305409 |q (ePub) | ||
| 020 | |a 111830540X |q (ePub) | ||
| 020 | |a 9781118305416 |q (MobiPocket) | ||
| 020 | |a 1118305418 |q (MobiPocket) | ||
| 020 | |a 9781119942979 |q (Adobe PDF) | ||
| 020 | |a 1119942977 |q (Adobe PDF) | ||
| 020 | |a 9781119942986 |q (electronic bk.) | ||
| 020 | |a 1119942985 |q (electronic bk.) | ||
| 020 | |a 047006109X | ||
| 020 | |a 9780470061091 | ||
| 020 | |a 9781280590948 |q (MyiLibrary) | ||
| 020 | |a 1280590947 |q (MyiLibrary) | ||
| 020 | |z 9780470061091 |q (cloth) | ||
| 024 | 8 | |a 9786613620774 | |
| 029 | 1 | |a AU@ |b 000048421758 | |
| 029 | 1 | |a CHNEW |b 000938826 | |
| 029 | 1 | |a CHVBK |b 480191107 | |
| 029 | 1 | |a DEBBG |b BV040474091 | |
| 029 | 1 | |a DEBBG |b BV040884845 | |
| 029 | 1 | |a DEBBG |b BV042793170 | |
| 029 | 1 | |a DEBBG |b BV043393923 | |
| 029 | 1 | |a DEBBG |b BV044163723 | |
| 029 | 1 | |a DEBSZ |b 383118913 | |
| 029 | 1 | |a DEBSZ |b 397268068 | |
| 029 | 1 | |a DEBSZ |b 424329174 | |
| 029 | 1 | |a DEBSZ |b 431113726 | |
| 029 | 1 | |a DEBSZ |b 485011530 | |
| 029 | 1 | |a GWDNB |b 105906409X | |
| 029 | 1 | |a NZ1 |b 14695662 | |
| 035 | |a (OCoLC)770696945 |z (OCoLC)793104234 |z (OCoLC)794619434 |z (OCoLC)852511925 |z (OCoLC)945450210 |z (OCoLC)961632966 |z (OCoLC)962650883 |z (OCoLC)988527692 |z (OCoLC)991918242 |z (OCoLC)992870090 |z (OCoLC)1037775004 |z (OCoLC)1038624248 |z (OCoLC)1038656585 |z (OCoLC)1045479744 |z (OCoLC)1054124479 |z (OCoLC)1055335664 |z (OCoLC)1065901331 |z (OCoLC)1081204514 |z (OCoLC)1101722602 |z (OCoLC)1148161405 |z (OCoLC)1153521588 | ||
| 037 | |a 10.1002/9781119942986 |b Wiley InterScience |n http://www3.interscience.wiley.com | ||
| 042 | |a pcc | ||
| 050 | 0 | 0 | |a R723.5 |
| 060 | 4 | |a WB 102.5 | |
| 072 | 7 | |a MED |x 002000 |2 bisacsh | |
| 072 | 7 | |a MED |x 095000 |2 bisacsh | |
| 082 | 0 | 0 | |a 362.1068/4 |2 23 |
| 049 | |a UAMI | ||
| 245 | 0 | 0 | |a Evidence synthesis for decision making in healthcare / |c Nicky J. Welton [and others]. |
| 260 | |a Chichester, West Sussex : |b Wiley, |c 2012. | ||
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a data file |2 rda | ||
| 490 | 1 | |a Statistics in practice | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |6 880-01 |a Introduction -- Bayesian methods and winBUGS -- Introduction to decision models -- Meta-analysis using Bayesian methods -- Exploring between study heterogeneity -- Model critique and evidence consistency in random effects meta-analysis -- Evidence synthesis in a decision modelling framework -- Multi-parameter evidence synthesis in epidemiological models -- Mixed treatment comparisons -- Markov models -- Generalised evidence synthesis -- Expected value of information for research prioritisation and study design. | |
| 588 | 0 | |a Print version record and CIP data provided by publisher. | |
| 520 | |a In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish interventions that are both effective and cost-effective. Usually a single study will not fully address these issues and it is desirable to synthesize evidence from multiple sources. This book aims to provide a practical guide to evidence synthesis for the purpose of decision making, starting with a simple single parameter model, where all studies estimate the same quantity (pairwise meta-analysis) and progressing to more complex multi-parameter structures (including meta-regression, mixe. | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Health services administration. | |
| 650 | 0 | |a Evidence-based medicine. | |
| 650 | 0 | |a Bayesian statistical decision theory. | |
| 650 | 0 | |a Decision making |x Mathematical models. | |
| 650 | 0 | |a Statistics. | |
| 650 | 2 | |a Decision Support Techniques | |
| 650 | 2 | |a Statistics as Topic | |
| 650 | 2 | |a Evidence-Based Medicine |x economics | |
| 650 | 2 | |a Models, Statistical | |
| 650 | 2 | |a Patient Care Management |x methods | |
| 650 | 2 | |a Patient Care Management | |
| 650 | 2 | |a Health Services Administration | |
| 650 | 2 | |a Evidence-Based Medicine | |
| 650 | 2 | |a Evidence-Based Practice | |
| 650 | 6 | |a Services de santé |x Administration. | |
| 650 | 6 | |a Médecine factuelle. | |
| 650 | 6 | |a Théorie de la décision bayésienne. | |
| 650 | 6 | |a Prise de décision |x Modèles mathématiques. | |
| 650 | 6 | |a Statistiques. | |
| 650 | 6 | |a Statistique. | |
| 650 | 7 | |a statistics. |2 aat | |
| 650 | 7 | |a MEDICAL |x Administration. |2 bisacsh | |
| 650 | 7 | |a MEDICAL |x Practice Management & Reimbursement. |2 bisacsh | |
| 650 | 7 | |a Statistics |2 fast | |
| 650 | 7 | |a Decision making |x Mathematical models |2 fast | |
| 650 | 7 | |a Bayesian statistical decision theory |2 fast | |
| 650 | 7 | |a Evidence-based medicine |2 fast | |
| 650 | 7 | |a Health services administration |2 fast | |
| 655 | 4 | |a Internet Resources. | |
| 700 | 1 | |a Welton, Nicky J. | |
| 758 | |i has work: |a Evidence synthesis for decision making in healthcare (Text) |1 https://id.oclc.org/worldcat/entity/E39PCG3hPVYrycKpkv4ctyhtBq |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |t Evidence synthesis for decision making in healthcare. |d Chichester, West Sussex : John Wiley & Sons, 2012 |z 9780470061091 |w (DLC) 2011051684 |
| 830 | 0 | |a Statistics in practice. | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=881533 |z Texto completo |
| 880 | 0 | 0 | |6 505-01/(S |g Machine generated contents note: |g 1.1. |t rise of health economics -- |g 1.2. |t Decision making under uncertainty -- |g 1.2.1. |t Deterministic models -- |g 1.2.2. |t Probabilistic decision modelling -- |g 1.3. |t Evidence-based medicine -- |g 1.4. |t Bayesian statistics -- |g 1.5. |t NICE -- |g 1.6. |t Structure of the book -- |g 1.7. |t Summary key points -- |g 1.8. |t Further reading -- |t References -- |g 2.1. |t Introduction to Bayesian methods -- |g 2.1.1. |t What is a Bayesian approach-- |g 2.1.2. |t Likelihood -- |g 2.1.3. |t Bayes' theorem and Bayesian updating -- |g 2.1.4. |t Prior distributions -- |g 2.1.5. |t Summarising the posterior distribution -- |g 2.1.6. |t Prediction -- |g 2.1.7. |t More realistic and complex models -- |g 2.1.8. |t MCMC and Gibbs sampling -- |g 2.2. |t Introduction to WinBUGS -- |g 2.2.1. |t BUGS language -- |g 2.2.2. |t Graphical representation -- |g 2.2.3. |t Running WinBUGS -- |g 2.2.4. |t Assessing convergence in WinBUGS -- |g 2.2.5. |t Statistical inference in WinBUGS -- |g 2.2.6. |t Practical aspects of using WinBUGS -- |g 2.3. |t Advantages and disadvantages of a Bayesian approach -- |g 2.4. |t Summary key points -- |g 2.5. |t Further reading -- |g 2.6. |t Exercises -- |t References -- |g 3.1. |t Introduction -- |g 3.2. |t Decision tree models -- |g 3.3. |t Model parameters -- |g 3.3.1. |t Effects of interventions -- |g 3.3.2. |t Quantities relating to the clinical epidemiology of the clinical condition being treated -- |g 3.3.3. |t Utilities -- |g 3.3.4. |t Resource use and costs -- |g 3.4. |t Deterministic decision tree -- |g 3.5. |t Stochastic decision tree -- |g 3.5.1. |t Presenting the results of stochastic economic decision models -- |g 3.6. |t Sources of evidence -- |g 3.7. |t Principles of synthesis for decision models (motivation for the rest of the book) -- |g 3.8. |t Summary key points -- |g 3.9. |t Further reading -- |g 3.10. |t Exercises -- |t References -- |g 4.1. |t Introduction -- |g 4.2. |t Fixed Effect model -- |g 4.3. |t Random Effects model -- |g 4.3.1. |t predictive distribution -- |g 4.3.2. |t Prior specification for τ -- |g 4.3.3. |t 'Exact' Random Effects model for Odds Ratios based on a Binomial likelihood -- |g 4.3.4. |t Shrunken study level estimates -- |g 4.4. |t Publication bias -- |g 4.5. |t Study validity -- |g 4.6. |t Summary key points -- |g 4.7. |t Further reading -- |g 4.8. |t Exercises -- |t References -- |g 5.1. |t Introduction -- |g 5.2. |t Random effects meta-regression models -- |g 5.2.1. |t Generic random effect meta-regression model -- |g 5.2.2. |t Random effects meta-regression model for Odds Ratio (OR) outcomes using a Binomial likelihood -- |g 5.2.3. |t Autocorrelation and centring covariates -- |g 5.3. |t Limitations of meta-regression -- |g 5.4. |t Baseline risk -- |g 5.4.1. |t Model for including baseline risk in a meta-regression on the (log) OR scale -- |g 5.4.2. |t Final comments on including baseline risk as a covariate -- |g 5.5. |t Summary key points -- |g 5.6. |t Further reading -- |g 5.7. |t Exercises -- |t References -- |g 6.1. |t Introduction -- |g 6.2. |t Random Effects model revisited -- |g 6.3. |t Assessing model fit -- |g 6.3.1. |t Deviance -- |g 6.3.2. |t Residual deviance -- |g 6.4. |t Model comparison -- |g 6.4.1. |t Effective number of parameters, pD -- |g 6.4.2. |t Deviance Information Criteria -- |g 6.5. |t Exploring inconsistency -- |g 6.5.1. |t Cross-validation -- |g 6.5.2. |t Mixed predictive checks -- |g 6.6. |t Summary key points -- |g 6.7. |t Further reading -- |g 6.8. |t Exercises -- |t References -- |g 7.1. |t Introduction -- |g 7.2. |t Evaluation of decision models: One-stage vs two-stage approach -- |g 7.3. |t Sensitivity analyses (of model inputs and model specifications) -- |g 7.4. |t Summary key points -- |g 7.5. |t Further reading -- |g 7.6. |t Exercises -- |t References -- |g 8.1. |t Introduction -- |g 8.2. |t Prior and posterior simulation in a probabilistic model: Maple Syrup Urine Disease (MSUD) -- |g 8.3. |t model for prenatal HIV testing -- |g 8.4. |t Model criticism in multi-parameter models -- |g 8.5. |t Evidence-based policy -- |g 8.6. |t Summary key points -- |g 8.7. |t Further reading -- |g 8.8. |t Exercises -- |t References -- |g 9.1. |t Why go beyond 'direct' head-to-head trials-- |g 9.2. |t fixed treatment effects model for MTC -- |g 9.2.1. |t Absolute treatment effects -- |g 9.2.2. |t Relative treatment efficacy and ranking -- |g 9.3. |t Random Effects MTC models -- |g 9.4. |t Model choice and consistency of MTC evidence -- |g 9.4.1. |t Techniques for presenting and understanding the results of MTC -- |g 9.5. |t Multi-arm trials -- |g 9.6. |t Assumptions made in mixed treatment comparisons -- |g 9.7. |t Embedding an MTC within a cost-effectiveness analysis -- |g 9.8. |t Extension to continuous, rate and other outcomes -- |g 9.9. |t Summary key points -- |g 9.10. |t Further reading -- |g 9.11. |t Exercises -- |t References -- |g 10.1. |t Introduction -- |g 10.2. |t Continuous and discrete time Markov models -- |g 10.3. |t Decision analysis with Markov models -- |g 10.3.1. |t Evaluating Markov models -- |g 10.4. |t Estimating transition parameters from a single study -- |g 10.4.1. |t Likelihood -- |g 10.4.2. |t Priors and posteriors for multinomial probabilities -- |g 10.5. |t Propagating uncertainty in Markov parameters into a decision model -- |g 10.6. |t Estimating transition parameters from a synthesis of several studies -- |g 10.6.1. |t Challenges for meta-analysis of evidence on Markov transition parameters -- |g 10.6.2. |t relationship between probabilities and rates -- |g 10.6.3. |t Modelling study effects -- |g 10.6.4. |t Synthesis of studies reporting aggregate data -- |g 10.6.5. |t Incorporating studies that provide event history data -- |g 10.6.6. |t Reporting results from a Random Effects model -- |g 10.6.7. |t Incorporating treatment effects -- |g 10.7. |t Summary key points -- |g 10.8. |t Further reading -- |g 10.9. |t Exercises -- |t References -- |g 11.1. |t Introduction -- |g 11.2. |t Deriving a prior distribution from observational evidence -- |g 11.3. |t Bias allowance model for the observational data -- |g 11.4. |t Hierarchical models for evidence from different study designs -- |g 11.5. |t Discussion -- |g 11.6. |t Summary key points -- |g 11.7. |t Further reading -- |g 11.8. |t Exercises -- |t References -- |g 12.1. |t Introduction -- |g 12.2. |t Expected value of perfect information -- |g 12.3. |t Expected value of partial perfect information -- |g 12.3.1. |t Computation -- |g 12.3.2. |t Notes on EVPPI -- |g 12.4. |t Expected value of sample information -- |g 12.4.1. |t Computation -- |g 12.5. |t Expected net benefit of sampling -- |g 12.6. |t Summary key points -- |g 12.7. |t Further reading -- |g 12.8. |t Exercises -- |t References -- |g A2.1. |t Normal distribution -- |g A2.2. |t Binomial distribution -- |g A2.3. |t Multinomial distribution -- |g A2.4. |t Uniform distribution -- |g A2.5. |t Exponential distribution -- |g A2.6. |t Gamma distribution -- |g A2.7. |t Beta distribution -- |g A2.8. |t Dirichlet distribution. |
| 938 | |a Askews and Holts Library Services |b ASKH |n AH23094472 | ||
| 938 | |a 123Library |b 123L |n 51611 | ||
| 938 | |a Coutts Information Services |b COUT |n 8450697 | ||
| 938 | |a EBL - Ebook Library |b EBLB |n EBL881533 | ||
| 938 | |a ebrary |b EBRY |n ebr10630592 | ||
| 938 | |a EBSCOhost |b EBSC |n 444284 | ||
| 938 | |a YBP Library Services |b YANK |n 7578166 | ||
| 938 | |a YBP Library Services |b YANK |n 7644098 | ||
| 938 | |a YBP Library Services |b YANK |n 12879469 | ||
| 994 | |a 92 |b IZTAP | ||