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[分享] [福利] 8本Meta分析英文原版电子书(免费PDF下载)

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sampson2010 发表于 2014-10-18 13:59:51 | 显示全部楼层 |阅读模式

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本帖最后由 sampson2010 于 2015-3-3 21:18 编辑 6 `- Z, ]3 F6 G( u! [& F+ k

/ h: f3 i/ W9 ?- ~" Q" h( h2 NAdvances in Meta-Analysis$ W/ w. t; F/ }1 Q" R
dfb1ae72d031988dd5514bba6255e827-d.jpg
5 V3 o4 M+ K) S1 R/ \& T. G& SAuthor(s):Terri D. Pigott
+ {2 `% d% p) |* J# P" p4 [( oSeries: Statistics for Social and Behavioral Sciences
1 M* A0 L" N+ JPublisher: Springer
. P& w5 H  t# W/ W8 I# h/ x  tYear: 2012       
2 S# y( T  g1 u4 ~4 G% {Edition: 20126 ]+ [: g2 y3 M1 a: ~& k, D7 ^3 e
Language: English        4 t4 m3 I! p) I4 B7 _
Pages: 170

/ H8 V8 y  X& C" z3 i
" A. m/ H8 L. k6 `Table of contents : # |7 y/ [2 g3 Y/ k# v% e# U
Cover......Page 1
, ?6 ~: B+ T8 s* o9 xStatistics for Social and Behavioral Sciences......Page 22 }0 K' w5 g2 ~% d
Advances in Meta-Analysis......Page 4( R: `. B( w! T. _1 b, k5 D$ O3 S
ISBN 9781461422778......Page 5# N' d( T2 h/ u3 V. p" e
Acknowledgements......Page 8
' L! L' f7 E( y& hContents......Page 103 p4 `3 o/ K( I/ X4 P
1.1 Background......Page 16
" ^# s4 X1 F! d4 Z+ L1.2 Planning a Systematic Review......Page 17& F8 Z" g/ G; O! r) r
1.4 Interpreting Results from a Meta-analysis......Page 19
. }# _; e# s; `8 _1 C/ v1 J1.5 What Do Readers Need to Know to Use This Book?......Page 20, D% N) z5 b# f+ y2 X/ o
References......Page 21
. U/ E/ l# H9 o. I- B! x0 X" J2.2 Introduction to Notation and Basic Meta-analysis......Page 22& t7 H/ O# K( j) Q4 h4 g$ K
2.3 The Random Effects Mean and Variance......Page 238 A8 g* d6 [3 n3 I* g2 I  H
2.4.2 Correlation Coefficient......Page 25
1 S3 G" v6 m# Z2.4.3 Log Odds Ratio......Page 26' B3 H" n- s+ }! j8 z# s: k
References......Page 27
' Y6 ?( n" }7 o* P( o3.1 Background......Page 28
" h5 O. J* m' u* }* w  u3.2 Deciding on Important Moderators of Effect Size......Page 29
2 R; L: p, {1 `3.3 Choosing Among Fixed, Random and Mixed Effects Modelsƒ......Page 31, L* A6 y3 \6 s, {
3.4 Computing the Variance Component in Random and Mixed Models......Page 33
: C# }$ A. L- _" u. m" ^0 K* V3.4.1 Example......Page 356 L' G& t9 F% L
3.5 Confounding of Moderators in Effect Size Models......Page 36$ v9 W* [) M: G/ Y* E& i! _
3.5.1 Example......Page 38* k/ ^) l6 P2 X, t! V5 x0 n' @
3.6.1 Example......Page 405 g1 w, H/ f0 {& ^# k4 p1 r  K
3.7 Interpretation of Moderator Analyses......Page 43
  t& w1 V8 H2 c4 SComputing the Variance Component Using SAS......Page 44
& g) k8 M) ^* o- Q- ZComputing the Variance Component Using R......Page 45. y! l) W* j( _6 Y" W
Computing the Fixed Effects Meta-regression Using SAS......Page 466 i( q8 H2 t* w( m
References......Page 47
: C% e4 p% H/ D  b  x4.1 Background......Page 50
' g$ H! j( h6 c8 a9 O4 s4.2 Fundamentals of Power Analysis......Page 52' Y7 D& x% h$ T4 G/ p
4.3.1 Z-Test for the Mean Effect Size in the Fixed Effects Modelƒ......Page 54/ z* P4 I# o4 O$ \' ^; {
4.3.2 The Power of the Test of the Mean Effect Size in Fixed Effects Models......Page 56
/ \5 C3 t7 ?" u3 z9 t. L4.3.3 Deciding on Values for Parameters to Compute Power......Page 57' w' B- a5 [/ j, X' [6 z4 u! e
4.3.4 Example: Computing the Power of the Test of the Mean......Page 58
* Q1 `0 B( M* `1 E1 I: |9 B4.3.5 Example: Computing the Number of Studies Needed to Detect an Important Fixed Effects Mean......Page 60
% F' m. ?4 J( L7 m0 q" o4.3.6 Example: Computing the Detectable Fixed Effects Mean in a Meta-analysis......Page 61
, G5 V3 f: D2 V* n  [4.4 Test of the Mean Effect Size in the Random Effects Model......Page 629 D; y1 P5 A, x3 e
4.4.1 The Power of the Test of the Mean Effect Size in Random Effects Models......Page 63
1 ]  ?  E- X* i. {8 ^5 ^% w- Q' g4.4.2 Positing a Value for tau2 for Power Computations in the Random Effects Model......Page 64
: ]# h  p. Z8 \! e0 j. b8 z* P# |4.4.3 Example: Estimating the Power of the Random Effects Mean......Page 65
  Z6 \  }5 y; y% p) z* |4.4.4 Example: Computing the Number of Studies Needed to Detect an Important Random Effect Mean......Page 66  B) }7 M% |7 x: z
Excel......Page 676 W- y# _  J7 \
References......Page 68
/ L) i# e; m+ e7 d; J2 j5.1 Background......Page 70
6 ?$ s6 A/ ]9 W7 ~3 {, F3 g1 U! E) i5.2.1 The Power of the Test of Homogeneity in a Fixed Effects Model......Page 71
% R; ^; V' o8 |( ]6 H4 k5.2.2 Choosing Values for the Parameters Needed to Compute Power of the Homogeneity Test in Fixed Effects Models......Page 72
( O1 I6 a9 n" d5 Y9 P6 _  s5.2.3 Example: Estimating the Power of the Test of Homogeneity in Fixed Effects Models......Page 73
- I  p: @6 I' f2 `6 Y, T% M2 m$ P5.3 The Test of the Significance of the Variance Component in Random Effects Models......Page 74
2 c6 m& Q% z8 h+ u5.3.1 Power of the Test of the Significance of the Variance Component in Random Effects Models......Page 75
  s1 y& G% ^" j' u& y5.3.2 Choosing Values for the Parameters Needed to Compute the Variance Component in Random Effects Models......Page 76
# P% Z5 [/ O7 K+ x( P5.3.3 Example: Computing Power for Values of tau2, the Variance Component......Page 77+ ^9 S# P) r3 l: c0 Z' l# r
SAS......Page 79
& d2 d& z4 x  n" n0 {R......Page 80; s, J' o+ M  c; \+ T0 ~- \, R
References......Page 81
& h! A1 l4 D; Q# m6.1 Background......Page 82
5 e! T( Q  \2 z+ D  q% w6 @$ \* ?- ~6.2.2 Power of the Test of Between-Group Homogeneity, QB, in Fixed Effects Models......Page 836 I( t- ~0 U; l0 J7 I2 B
6.2.4 Example: Power of the Test of Between-Group Homogeneity in Fixed Effects Models......Page 85
% T1 |* w  [4 O# _) U7 h8 y6.2.5 Power of the Test of Within-Group Homogeneity, QW, in Fixed Effects Models......Page 86
6 f& N0 [' ]3 t0 [- }& g8 y, o; }6.2.6 Choosing Parameters for the Test of QW in Fixed Effects Models......Page 876 {+ e& U" S+ |
6.2.7 Example: Power of the Test of Within-Group Homogeneity in Fixed Effects Models......Page 887 I; Q- J1 @  W
6.3.1 Power of Test of Between-Group Homogeneity in the Random Effects Model......Page 89
% s  \" T$ |) H0 {  ^- N6.3.3 Example: Power of the Test of Between-Group Homogeneity in Random Effects Models......Page 91+ v$ c2 z) o$ o! g" \! e
References......Page 934 {5 G* G+ h3 i  \6 r# l
7.1 Background......Page 94
! p7 L* R, z6 m7.2.1 Identification of Publication Bias......Page 95
: n9 |# Y8 ^4 F7.2.1.1 Example of Funnel Plot......Page 96
, n/ ~( d& s( _# k7.2.2 Assessing the Sensitivity of Results to Publication Bias......Page 97
* r! o# `/ ^0 @8 `- z7.3 Missing Effect Sizes in a Meta-analysis......Page 1002 R4 i- q; t4 g  p
7.4 Missing Moderators in Effect Size Models......Page 1010 N6 f; O0 u* D* Q1 }: ?1 P
7.5 Theoretical Basis for Missing Data Methods......Page 102
1 A/ x# j6 w3 g7 `; `7.5.1 Multivariate Normality in Meta-analysis......Page 103/ I- Q! u+ {$ g' `& q; h4 C
7.5.2 Missing Data Mechanisms or Reasons for Missing Data......Page 104
5 O( k4 x/ z# e( v: j7.6.1 Complete-Case Analysis......Page 105% \5 h  s- y, ~! R' U5 q
7.6.1.1 Example: Complete-Case Analysis......Page 1062 m! n  x" B! D1 ~  B6 b) S& c
7.6.2 Available Case Analysis or Pairwise Deletion......Page 1077 E9 R) U. `1 L; u8 ?/ l5 P
7.6.3 Single Value Imputation with the Complete Case Mean......Page 108
1 `6 K5 @1 i- B. @7 `9 J7 f  A5 C7.6.3.1 Example: Mean Imputation......Page 109- d* t# V7 Q- N* B) p
7.6.4 Single Value Imputation Using Regression Techniques......Page 1100 d- J# j$ t3 H! v
7.6.4.1 Example: Regression Imputation......Page 111
$ Q, l1 a) j: `( w2 h0 c7.7.1 Maximum-Likelihood Methods for Missing Data Using the EM Algorithm......Page 112) V0 b% n9 Z* a  i: R6 {9 ^: R
7.7.1.1 Example Using the EM Algorithm......Page 1130 j7 M) S6 E1 Y! x% j/ U2 w
7.7.2.1 Generating Multiple Imputations......Page 114! T+ L- G% F. d' m
7.7.2.3 Combining the Estimates......Page 115/ v9 o* \- z. i  E" _: U4 |
R Programs......Page 117+ O) R5 A+ X1 ?( m' D1 A& r# e
SAS Proc MI......Page 119
) r# u, g7 {$ I, e" Y0 [- aReferences......Page 1212 D# `# S( S) [! d
8.1 Background......Page 124
! [% r5 Z% j7 ^7 X3 J/ l+ i8.2 The Potential for IPD Meta-analysis......Page 125
* ^1 E0 D; z' R8.3.1 Simple Random Effects Models with Aggregated Data......Page 127
% L1 u) y0 i0 A7 A% v- `) Z8.3.2.1 Example: Two-Stage Method Using Correlation as the Effect Size......Page 129
4 M0 V$ [: B% v8 V& B6 g8.4.1 IPD Model for the Standardized Mean Difference......Page 130
3 L5 n! N2 c% ~5 [/ d" E! x; v% X8.4.3 Model for the One-Stage Method with Both IPD and AD......Page 131& X" S2 [; o  R3 K0 M
8.5 Effect Size Models with Moderators Using a Mix of IPD and AD......Page 133+ D% E3 U0 U3 b0 V& R8 {- |
8.5.1 Two-Stage Methods for Meta-regression with a Mix of IPD and AD......Page 134
+ t  `; b0 @& e) N, x8.5.2 One-Stage Method for Meta-regression with a Mix of IPD and AD......Page 135" E' d' n! o' L) W  s
8.5.4 One-Stage Meta-regression with a Mix of IPD and AD......Page 1361 K/ N; G8 [2 E
8.5.4.1 Example: One-Stage Method for Meta-regression with Correlationsƒ......Page 137; Q9 I) S7 f+ y3 _* g8 \& @
SAS Code for Simple Random Effects Model Using the Two-Step Method......Page 138- f4 l) ~9 m; v: X" Y0 t% f  m
Output from Two-Stage Simple Random Effects Model......Page 139
4 B" I0 D0 r( i3 h) B; N  i2 m6 OSAS Code for Meta-regression Using the Two-Stage Method......Page 1405 G# p: ]4 o* q) M! `
SAS Code for Simple Random Effects Model Using the One-Stage Model......Page 141" Y! I+ x+ c' A* F: T
Output from One-Stage Simple Random Effects Model......Page 143
- c% _7 G4 T" M( Z0 eOutput for Meta-regression Using the One-Step Method......Page 144
# Z) j3 `* E8 ^" V1 @: J* VReferences......Page 1453 W* n0 _5 i: k: _, B* H: y
9.1 Background......Page 148' X5 R8 A7 g, A
9.1.1 The Preventive Health Services (2009) Report on Breast Cancer Screening......Page 1493 M  r6 x, j5 W' j
9.2.1 Surface Similarity......Page 150
- r- Z( k  @8 k; X9.2.2 Ruling Out Irrelevancies......Page 151- K/ o& \1 X$ i% L
9.2.3 Making Discriminations......Page 152* j5 R. X- Y& g8 r* e
9.2.5 Causal Explanation......Page 153, P# k; H- }3 I
9.3 Suggestions for Generalizing from a Meta-analysis......Page 1542 _/ `* L4 l  b  G- l. a
References......Page 155
/ y$ O; i: A' M8 N, o10.2 Understanding the Research Problem......Page 1582 q- R7 R5 F- U  G4 ?' R' Z
10.3 Having an a Priori Plan for the Meta-analysis......Page 1590 T8 i0 @1 k( I
10.4 Carefully and Thoroughly Interpret the Results of Meta-analysis......Page 160
) R; i% k- w: d* o# BReferences......Page 161
  O0 ~4 r: \! B, Q7 A9 M11.1 Sirin (2005) Meta-analysis on the Association Between Measures of Socioeconomic Status and Academic Achievement......Page 1629 H3 T# _" b5 T$ d$ [# f
11.2 Hackshaw et al. (1997) Meta-analysis on Exposure to Passive Smoking and Lung Cancer......Page 164; u% \% q( D8 \1 [  ~7 E
11.3 Eagly et al. (2003) Meta-analysis on Gender Differences in Transformational Leadership......Page 166
" u7 M1 t) W# ^5 a9 H0 gReferences......Page 167$ _0 `0 n- u" g6 e
Index......Page 168. }' n2 b5 _. G+ Y; ^0 v" h

/ ]6 J' b" l" D5 a! j/ [/ _ Advances in Meta-Analysis (2012).pdf (1.03 MB, 下载次数: 619)

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猫猫咪吖 发表于 2015-3-15 21:23:02 | 显示全部楼层
看不懂!
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糊涂毛毛虫 发表于 2015-3-19 15:06:57 | 显示全部楼层
谢谢楼主!!!!非常棒的资料~!
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zx08192004 发表于 2015-5-6 13:30:37 | 显示全部楼层
超级有用的资料,感谢楼主的分享,真得好好的学习学习。
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txyw 发表于 2015-5-11 15:21:07 | 显示全部楼层
楼主牛逼,有没有关于网络meta的书啊
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insect16 发表于 2015-6-26 11:25:52 | 显示全部楼层
感谢楼主无私分享
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MLJ要奋斗 发表于 2015-7-2 10:16:30 | 显示全部楼层
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 楼主| sampson2010 发表于 2015-7-2 15:29:39 | 显示全部楼层
txyw 发表于 2015-5-11 15:21
, e% [1 a) c! N: H楼主牛逼,有没有关于网络meta的书啊

: k( C: L% A" r, A9 I最近忙于毕业,没时间整理,等闲下来了再发帖,记得关注哦!
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fisher163 发表于 2015-8-14 20:13:31 | 显示全部楼层
可以点个赞
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山脚下的小姑娘 发表于 2015-8-21 16:56:01 | 显示全部楼层
楼主太厉害了,非常感谢楼主的无私分享。向楼主学习。
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