Biostatistics

Recommendations

Info

254 CHAPTER 7 HYPOTHESIS TESTING 9. Conclusion. We may conclude that the fundoplication procedure increases GBEF functioning. 10. p value. For this test, :025 < p
EXERCISES 255 7.4.1 Ellen Davis Jones (A-15) studied the effects of reminiscence therapy for older women with depression. She studied 15 women 60 years or older residing for 3 months or longer in an assisted living long-term care facility. For this study, depression was measured by the Geriatric Depression Scale (GDS). Higher scores indicate more severe depression symptoms. The participants received reminiscence therapy for long-term care, which uses family photographs, scrapbooks, and personal memorabilia to stimulate memory and conversation among group members. Pre-treatment and posttreatment depression scores are given in the following table. Can we conclude, based on these data, that subjects who participate in reminiscence therapy experience, on average, a decline in GDS depression scores? Let a ¼ :01. Pre–GDS: 12 10 16 2 12 18 11 16 16 10 14 21 9 19 20 Post–GDS: 11 10 11 3 9 13 8 14 16 10 12 22 9 16 18 Source: Data provided courtesy of Ellen Davis Jones, N.D., R.N., FNP-C. 7.4.2 Beney et al. (A-16) evaluated the effect of telephone follow-up on the physical well-being dimension of health-related quality of life in patients with cancer. One of the main outcome variables was measured by the physical well-being subscale of the Functional Assessment of Cancer Therapy Scale-General (FACT-G). A higher score indicates higher physical well-being. The following table shows the baseline FACT-G score and the follow-up score to evaluate the physical well-being during the 7 days after discharge from hospital to home for 66 patients who received a phone call 48–72 hours after discharge that gave patients the opportunity to discuss medications, problems, and advice. Is there sufficient evidence to indicate that quality of physical well-being significantly decreases in the first week of discharge among patients who receive a phone call? Let a ¼ :05. Subject Baseline FACT-G Follow-up FACT-G Subject Baseline FACT-G Follow-up FACT-G 1 16 19 34 25 14 2 26 19 35 21 17 3 13 9 36 14 22 4 20 23 37 23 22 5 22 25 38 19 16 6 21 20 39 19 15 7 20 10 40 18 23 8 15 20 41 20 21 9 25 22 42 18 11 10 20 18 43 22 22 11 11 6 44 7 17 12 22 21 45 23 9 13 18 17 46 19 16 14 21 13 47 17 16 15 25 25 48 22 20 16 17 21 49 19 23 17 26 22 50 5 17 18 18 22 51 22 17 19 7 9 52 12 6 20 25 24 53 19 19 21 22 15 54 17 20 22 15 9 55 7 6 (Continued )
Page 3:
TENTH EDITION BIOSTATISTICS A Found
Page 6 and 7:
VP & EXECUTIVE PUBLISHER: ACQUISITI
Page 9 and 10:
PREFACE This 10th edition of Biosta
Page 11 and 12:
PREFACE ix SUPPLEMENTS Instructor
Page 13:
BRIEF CONTENTS 1 INTRODUCTION TO BI
Page 16 and 17:
xiv CONTENTS 6.3 The t Distribution
Page 19 and 20:
CHAPTER1 INTRODUCTION TO BIOSTATIST
Page 21 and 22:
1.2 SOME BASIC CONCEPTS 3 Sources o
Page 23 and 24:
1.3 MEASUREMENT AND MEASUREMENT SCA
Page 25 and 26:
1.4 SAMPLING AND STATISTICAL INFERE
Page 27 and 28:
Page 29 and 30:
Page 31 and 32:
1.5 THE SCIENTIFIC METHOD AND THE D
Page 33 and 34:
1.6 COMPUTERS AND BIOSTATISTICAL AN
Page 35 and 36:
REVIEW QUESTIONS AND EXERCISES 17 a
Page 37 and 38:
CHAPTER2 DESCRIPTIVE STATISTICS CHA
Page 39 and 40:
2.2 THE ORDERED ARRAY 21 TABLE 2.2.
Page 41 and 42:
2.3 GROUPED DATA: THE FREQUENCY DIS
Page 43 and 44:
Page 45 and 46:
Page 47 and 48:
Page 49 and 50:
EXERCISES 31 3 ¼ an abundance of s
Page 51 and 52:
EXERCISES 33 25.21 30.49 27.38 36.4
Page 53 and 54:
EXERCISES 35 2.3.7 In a study of ph
Page 55 and 56:
EXERCISES 37 0.6870 0.6900 0.6910 0
Page 57 and 58:
2.4 DESCRIPTIVE STATISTICS: MEASURE
Page 59 and 60:
Page 61 and 62:
Page 63 and 64:
Page 65 and 66:
Page 67 and 68:
Page 69 and 70:
Page 71 and 72:
EXERCISES 53 2.5.1 Porcellini et al
Page 73 and 74:
SUMMARY OF FORMULAS FOR CHAPTER 2 5
Page 75 and 76:
REVIEW QUESTIONS AND EXERCISES 57 R
Page 77 and 78:
REVIEW QUESTIONS AND EXERCISES 59 1
Page 79 and 80:
Page 81 and 82:
REFERENCES 63 DRINK TOUNCES TGRAMS
Page 83 and 84:
CHAPTER3 SOME BASIC PROBABILITY CON
Page 85 and 86:
3.2 TWO VIEWS OF PROBABILITY: OBJEC
Page 87 and 88:
3.4 CALCULATING THE PROBABILITY OF
Page 89 and 90:
Page 91 and 92:
Page 93 and 94:
Page 95 and 96:
EXERCISES 77 (d) If we pick a subje
Page 97 and 98:
3.5 BAYES’ THEOREM, SCREENING TES
Page 99 and 100:
3.5 BAYES’ THEOREM, SCREENING TES
Page 101 and 102:
EXERCISES 83 EXERCISES 3.5.1 A medi
Page 103 and 104:
Page 105 and 106:
REVIEW QUESTIONS AND EXERCISES 87 (
Page 107 and 108:
REVIEW QUESTIONS AND EXERCISES 89 i
Page 109 and 110:
REFERENCES 91 Applications Referenc
Page 111 and 112:
4.2 PROBABILITY DISTRIBUTIONS OF DI
Page 113 and 114:
Page 115 and 116:
Page 117 and 118:
4.3 THE BINOMIAL DISTRIBUTION 99 TA
Page 119 and 120:
4.3 THE BINOMIAL DISTRIBUTION 101 E
Page 121 and 122:
4.3 THE BINOMIAL DISTRIBUTION 103 f
Page 123 and 124:
EXAMPLE 4.3.4 According to a June 2
Page 125 and 126:
EXERCISES 107 Data: C1: 0 1 2 3 4 5
Page 127 and 128:
4.4 THE POISSON DISTRIBUTION 109 pr
Page 129 and 130:
4.4 THE POISSON DISTRIBUTION 111 or
Page 131 and 132:
4.5 CONTINUOUS PROBABILITY DISTRIBU
Page 133 and 134:
4.5 CONTINUOUS PROBABILITY DISTRIBU
Page 135 and 136:
4.6 THE NORMAL DISTRIBUTION 117 .68
Page 137 and 138:
4.6 THE NORMAL DISTRIBUTION 119 σ
Page 139 and 140:
4.6 THE NORMAL DISTRIBUTION 121 _ 2
Page 141 and 142:
4.7 NORMAL DISTRIBUTION APPLICATION
Page 143 and 144:
TableD,wefindthattheareatotheleftof
Page 145 and 146:
EXERCISES 127 Data: C1:-3-2-10123 D
Page 147 and 148:
SUMMARY OF FORMULAS FOR CHAPTER 4 S
Page 149 and 150:
REVIEW QUESTIONS AND EXERCISES 131
Page 151 and 152:
REFERENCES 133 REFERENCES Methodolo
Page 153 and 154:
5.2 SAMPLING DISTRIBUTIONS 135 voca
Page 155 and 156:
5.3 DISTRIBUTION OF THE SAMPLE MEAN
Page 157 and 158:
Page 159 and 160:
Page 161 and 162:
Page 163 and 164:
5.4 DISTRIBUTION OF THE DIFFERENCE
Page 165 and 166:
Page 167 and 168:
EXERCISES 149 FIGURE 5.4.2 Sampling
Page 169 and 170:
5.5 DISTRIBUTION OF THE SAMPLE PROP
Page 171 and 172:
EXERCISES 153 51 percent had adequa
Page 173 and 174:
Page 175 and 176:
Page 177 and 178:
Page 179 and 180:
CHAPTER6 ESTIMATION CHAPTER OVERVIE
Page 181 and 182:
6.1 INTRODUCTION 163 We will find t
Page 183 and 184:
6.2 CONFIDENCE INTERVAL FOR A POPUL
Page 185 and 186:
Page 187 and 188:
Page 189 and 190:
6.3 THE t DISTRIBUTION 171 someone
Page 191 and 192:
6.3 THE t DISTRIBUTION 173 Normal d
Page 193 and 194:
EXERCISES 175 Yes Population normal
Page 195 and 196:
6.4 CONFIDENCE INTERVAL FOR THE DIF
Page 197 and 198:
Page 199 and 200:
Page 201 and 202:
EXERCISES 183 EXERCISES R Code: > t
Page 203 and 204:
Page 205 and 206:
Page 207 and 208:
6.7 DETERMINATION OF SAMPLE SIZE FO
Page 209 and 210:
6.8 DETERMINATION OF SAMPLE SIZE FO
Page 211 and 212:
6.9 CONFIDENCE INTERVAL FOR THE VAR
Page 213 and 214:
6.9 CONFIDENCE INTERVAL FOR THE VAR
Page 215 and 216:
EXERCISES 197 x 2 1 ða=2Þ ¼ 14:4
Page 217 and 218:
6.10 CONFIDENCE INTERVAL FOR THE RA
Page 219 and 220:
6.10 CONFIDENCE INTERVAL FOR THE RA
Page 221 and 222: SUMMARY OF FORMULAS FOR CHAPTER 6 2
Page 223 and 224: REVIEW QUESTIONS AND EXERCISES 205
Page 229 and 230: REFERENCES 211 3. W. V. BEHRENS,
Page 231 and 232: REFERENCES 213 A-30. ELENI KOUSTA,
Page 233 and 234: 7.1 INTRODUCTION 215 7.1 INTRODUCTI
Page 235 and 236: 7.1 INTRODUCTION 217 question: Can
Page 237 and 238: 7.1 INTRODUCTION 219 DEFINITION The
Page 239 and 240: 7.1 INTRODUCTION 221 Evaluate data
Page 241 and 242: 7.2 HYPOTHESIS TESTING: A SINGLE PO
Page 251 and 252: EXERCISES 233 Dialog box: Session c
Page 253 and 254: EXERCISES 235 7.2.10 Following a we
Page 255 and 256: 7.3 HYPOTHESIS TESTING: THE DIFFERE
Page 257 and 258: EXAMPLE 7.3.2 The purpose of a stud
Page 263 and 264: EXERCISES 245 The SAS System The TT
Page 265 and 266: EXERCISES 247 Primary Hypertensive
Page 267 and 268: 7.4 PAIRED COMPARISONS 249 7.3.10 R
Page 269 and 270: 7.4 PAIRED COMPARISONS 251 where d
Page 271: 7.4 PAIRED COMPARISONS 253 a = .05
Page 281 and 282: EXERCISES 263 MINITAB Output Test a
Page 285 and 286: 7.8 HYPOTHESIS TESTING: THE RATIO O
Page 287 and 288: 7.8 HYPOTHESIS TESTING: THE RATIO O
Page 289 and 290: EXERCISES 271 EXERCISES In the foll
Page 291 and 292: 7.9 THE TYPE II ERROR AND THE POWER
Page 293 and 294: 7.9 THE TYPE II ERROR AND THE POWER
Page 295 and 296: 7.10 DETERMINING SAMPLE SIZE TO CON
Page 297 and 298: EXERCISES 279 We set the right-hand
Page 299 and 300: SUMMARY OF FORMULAS FOR CHAPTER 7 2
Page 319 and 320: REFERENCES 301 A-17. JOHN S. MORLEY
Page 321 and 322: REFERENCES 303 A-56. LUIGI BENINI,
Page 323 and 324:
8.1 INTRODUCTION 305 8.1 INTRODUCTI
Page 325 and 326:
8.1 INTRODUCTION 307 who received d
Page 327 and 328:
8.2 THE COMPLETELY RANDOMIZED DESIG
Page 329 and 330:
Page 331 and 332:
Page 333 and 334:
Page 335 and 336:
Page 337 and 338:
Page 339 and 340:
Page 341 and 342:
Page 343 and 344:
Page 345 and 346:
Dependent Variable: Selenium Tukey
Page 347 and 348:
EXERCISES 329 Elbow Angle (Degrees)
Page 349 and 350:
EXERCISES 331 Age Groups (Years) Ag
Page 351 and 352:
EXERCISES 333 Group 1 Group 2 Group
Page 353 and 354:
Objective The objective in using th
Page 355 and 356:
8.3 THE RANDOMIZED COMPLETE BLOCK D
Page 357 and 358:
Page 359 and 360:
Page 361 and 362:
EXERCISES 343 The SAS System Analys
Page 363 and 364:
EXERCISES 345 group were randomly a
Page 365 and 366:
8.4 THE REPEATED MEASURES DESIGN 34
Page 367 and 368:
Page 369 and 370:
Page 371 and 372:
Page 373 and 374:
Page 375 and 376:
EXERCISES 357 Is there sufficient e
Page 377 and 378:
8.5 THE FACTORIAL EXPERIMENT 359 In
Page 379 and 380:
8.5 THE FACTORIAL EXPERIMENT 361 In
Page 381 and 382:
8.5 THE FACTORIAL EXPERIMENT 363 Be
Page 383 and 384:
8.5 THE FACTORIAL EXPERIMENT 365 TA
Page 385 and 386:
8.5 THE FACTORIAL EXPERIMENT 367 Ro
Page 387 and 388:
EXERCISES 369 The SAS System Analys
Page 389 and 390:
EXERCISES 371 Physical Psychiatric
Page 391 and 392:
8.6 SUMMARY 373 Percent Change in C
Page 393 and 394:
Page 395 and 396:
Page 397 and 398:
Page 399 and 400:
Page 401 and 402:
Page 403 and 404:
Page 405 and 406:
Page 407 and 408:
Page 409 and 410:
Page 411 and 412:
Page 413 and 414:
Page 415 and 416:
Page 417 and 418:
Page 419 and 420:
Page 421 and 422:
Page 423 and 424:
Page 425 and 426:
Page 427 and 428:
REFERENCES 409 Applications Referen
Page 429 and 430:
REFERENCES 411 Postmenopausal Women
Page 431 and 432:
CHAPTER9 SIMPLE LINEAR REGRESSION A
Page 433 and 434:
9.2 THE REGRESSION MODEL 415 some e
Page 435 and 436:
9.3 THE SAMPLE REGRESSION EQUATION
Page 437 and 438:
Page 439 and 440:
Page 441 and 442:
EXERCISES EXERCISES 423 The Least-S
Page 443 and 444:
EXERCISES 425 CoaguChek Hospital Co
Page 445 and 446:
9.4 EVALUATING THE REGRESSION EQUAT
Page 447 and 448:
Page 449 and 450:
Page 451 and 452:
Page 453 and 454:
Page 455 and 456:
Page 457 and 458:
Page 459 and 460:
9.5 USING THE REGRESSION EQUATION I
Page 461 and 462:
9.5 USING THE REGRESSION EQUATION 4
Page 463 and 464:
9.6 THE CORRELATION MODEL 445 9.6 T
Page 465 and 466:
9.7 THE CORRELATION COEFFICIENT 447
Page 467 and 468:
Page 469 and 470:
Page 471 and 472:
Page 473 and 474:
EXERCISES 455 is employed. We first
Page 475 and 476:
EXERCISES 457 9.7.3 In the study by
Page 477 and 478:
9.8 SOME PRECAUTIONS 459 X Y X Y 5.
Page 479 and 480:
9.9 SUMMARY 461 variance, which tes
Page 481 and 482:
9.7.3 t statistic for correlation c
Page 483 and 484:
Page 485 and 486:
Page 487 and 488:
Page 489 and 490:
Page 491 and 492:
Page 493 and 494:
Page 495 and 496:
Page 497 and 498:
Page 499 and 500:
Page 501 and 502:
Page 503 and 504:
Page 505 and 506:
REFERENCES 487 A-4. ROBERT B. PARKE
Page 507 and 508:
CHAPTER10 MULTIPLE REGRESSION AND C
Page 509 and 510:
Assumptions follows. 10.2 THE MULTI
Page 511 and 512:
10.3 OBTAINING THE MULTIPLE REGRESS
Page 513 and 514:
10.3 OBTAINING THE MULTIPLE REGRESS
Page 515 and 516:
EXERCISES 497 EXERCISES Obtain the
Page 517 and 518:
EXERCISES 499 10.3.3 In a study of
Page 519 and 520:
10.4 EVALUATING THE MULTIPLE REGRES
Page 521 and 522:
Page 523 and 524:
Page 525 and 526:
10.5 USING THE MULTIPLE REGRESSION
Page 527 and 528:
EXERCISES 509 and has an education
Page 529 and 530:
10.6 THE MULTIPLE CORRELATION MODEL
Page 531 and 532:
This equation may be used for estim
Page 533 and 534:
Page 535 and 536:
Page 537 and 538:
Page 539 and 540:
EXERCISES 521 HIV DNA Blood (Y) HIV
Page 541 and 542:
SUMMARY OF FORMULAS FOR CHAPTER 10
Page 543 and 544:
10.6.7 t statistic for testing hypo
Page 545 and 546:
Page 547 and 548:
Page 549 and 550:
Page 551 and 552:
Page 553 and 554:
Page 555 and 556:
REFERENCES 537 4. Refer to the data
Page 557 and 558:
CHAPTER11 REGRESSION ANALYSIS: SOME
Page 559 and 560:
11.1 INTRODUCTION 541 TABLE 11.1.1
Page 561 and 562:
11.2 QUALITATIVE INDEPENDENT VARIAB
Page 563 and 564:
Page 565 and 566:
Page 567 and 568:
Page 569 and 570:
Page 571 and 572:
Page 573 and 574:
Page 575 and 576:
EXERCISES 557 11.2.1 For subjects u
Page 577 and 578:
EXERCISES 559 11.2.4 Refer to Exerc
Page 579 and 580:
11.3 VARIABLE SELECTION PROCEDURES
Page 581 and 582:
11.3 VARIABLE SELECTION PROCEDURES
Page 583 and 584:
EXERCISES 565 CGAGE CGINCOME CGDUR
Page 585 and 586:
EXERCISES 567 11.3.2 Machiel Naeije
Page 587 and 588:
11.4 LOGISTIC REGRESSION 569 REACTI
Page 589 and 590:
11.4 LOGISTIC REGRESSION 571 betwee
Page 591 and 592:
11.4 LOGISTIC REGRESSION 573 The LO
Page 593 and 594:
11.4 LOGISTIC REGRESSION 575 Standa
Page 595 and 596:
11.4 LOGISTIC REGRESSION 577 Parame
Page 597 and 598:
11.4 LOGISTIC REGRESSION 579 Model
Page 599 and 600:
EXERCISES EXERCISES 581 Further Rea
Page 601 and 602:
Page 603 and 604:
Page 605 and 606:
Page 607 and 608:
Page 609 and 610:
Page 611 and 612:
Page 613 and 614:
Page 615 and 616:
REFERENCES 597 KNOW ¼ Knowledge. S
Page 617 and 618:
REFERENCES 599 A-26. EITHNE MULLOYa
Page 619 and 620:
12.1 INTRODUCTION 12.2 THE MATHEMAT
Page 621 and 622:
12.2 THE MATHEMATICAL PROPERTIES OF
Page 623 and 624:
12.3 TESTS OF GOODNESS-OF-FIT 605 W
Page 625 and 626:
12.3 TESTS OF GOODNESS-OF-FIT 607 x
Page 627 and 628:
12.3 TESTS OF GOODNESS-OF-FIT 609 9
Page 629 and 630:
that the first expected frequency i
Page 631 and 632:
12.3 TESTS OF GOODNESS-OF-FIT 613 T
Page 633 and 634:
12.3 TESTS OF GOODNESS-OF-FIT 615 V
Page 635 and 636:
EXERCISES 617 EXERCISES 12.3.1 The
Page 637 and 638:
12.4 TESTS OF INDEPENDENCE 619 12.3
Page 639 and 640:
Observed Versus Expected Frequencie
Page 641 and 642:
12.4 TESTS OF INDEPENDENCE 623 Comp
Page 643 and 644:
12.4 TESTS OF INDEPENDENCE 625 Note
Page 645 and 646:
12.4 TESTS OF INDEPENDENCE 627 9. C
Page 647 and 648:
EXERCISES 629 Performed Baseline Te
Page 649 and 650:
12.5 TESTS OF HOMOGENEITY 631 TABLE
Page 651 and 652:
12.5 TESTS OF HOMOGENEITY 633 8. St
Page 653 and 654:
EXERCISES 635 12.5.2 Coughlin et al
Page 655 and 656:
Hypotheses alternatives. 12.6 THE F
Page 657 and 658:
12.6 THE FISHER EXACT TEST 639 TABL
Page 659 and 660:
12.7 RELATIVE RISK, ODDS RATIO, AND
Page 661 and 662:
Page 663 and 664:
Page 665 and 666:
Page 667 and 668:
Page 669 and 670:
Page 671 and 672:
EXERCISES 653 Smoking_status * Obse
Page 673 and 674:
12.8 SUMMARY 655 collected data on
Page 675 and 676:
Page 677 and 678:
Page 679 and 680:
Page 681 and 682:
Page 683 and 684:
Page 685 and 686:
REFERENCES 667 12. R. LATSCHA, “T
Page 687 and 688:
REFERENCES 669 A-35. CRAIG R. COHEN
Page 689 and 690:
13.1 INTRODUCTION 671 2. be able to
Page 691 and 692:
13.3 THE SIGN TEST 673 13.3 THE SIG
Page 693 and 694:
13.3 THE SIGN TEST 675 TABLE 13.3.2
Page 695 and 696:
13.3 THE SIGN TEST 677 EXAMPLE 13.3
Page 697 and 698:
13.3 THE SIGN TEST 679 one sample i
Page 699 and 700:
13.4 THE WILCOXON SIGNED-RANK TEST
Page 701 and 702:
13.4 THE WILCOXON SIGNED-RANK TEST
Page 703 and 704:
EXERCISES 685 Dialog box: Session c
Page 705 and 706:
13.5 THE MEDIAN TEST 687 TABLE 13.5
Page 707 and 708:
EXERCISES 689 Dialog box: Session c
Page 709 and 710:
EXAMPLE 13.6.1 A researcher designe
Page 711 and 712:
13.6 THE MANN-WHITNEY TEST 693 to t
Page 713 and 714:
13.6 THE MANN-WHITNEY TEST 695 Dial
Page 715 and 716:
EXERCISES 697 deficit in Sprague-Da
Page 717 and 718:
Assumptions the following: 1. The s
Page 719 and 720:
13.7 THE KOLMOGOROV-SMIRNOV GOODNES
Page 721 and 722:
EXERCISES 703 1.0 .9 Cumulative rel
Page 723 and 724:
13.8 THE KRUSKAL-WALLIS ONE-WAY ANA
Page 725 and 726:
13.8 THE KRUSKAL-WALLIS ONE-WAY ANA
Page 727 and 728:
EXERCISES 709 Data: C1: 12.22 28.44
Page 729 and 730:
EXERCISES 711 Improvement (Control)
Page 731 and 732:
13.9 THE FRIEDMAN TWO-WAY ANALYSIS
Page 733 and 734:
13.9 THE FRIEDMAN TWO-WAY ANALYSIS
Page 735 and 736:
EXERCISES 717 Subject Area Student
Page 737 and 738:
13.10 THE SPEARMAN RANK CORRELATION
Page 739 and 740:
Page 741 and 742:
Page 743 and 744:
EXERCISES 725 Rank by Rank by Area
Page 745 and 746:
13.11 NONPARAMETRIC REGRESSION ANAL
Page 747 and 748:
13.11 NONPARAMETRIC REGRESSION ANAL
Page 749 and 750:
Page 751 and 752:
Page 753 and 754:
Page 755 and 756:
Page 757 and 758:
Page 759 and 760:
Page 761 and 762:
Page 763 and 764:
Page 765 and 766:
REFERENCES 747 cardiac operations.
Page 767 and 768:
REFERENCES 749 A-14. WENDY GANTT an
Page 769 and 770:
14.2 TIME-TO-EVENT DATA AND CENSORI
Page 771 and 772:
Page 773 and 774:
Page 775 and 776:
14.3 THE KAPLAN-MEIER PROCEDURE 757
Page 777 and 778:
14.3 THE KAPLAN-MEIER PROCEDURE 759
Page 779 and 780:
EXERCISES 761 1.0 .8 73% Low-grade
Page 781 and 782:
14.4 COMPARING SURVIVAL CURVES 763
Page 783 and 784:
14.4 COMPARING SURVIVAL CURVES 765
Page 785 and 786:
EXERCISES 767 EXERCISES 14.4.1 If a
Page 787 and 788:
14.5 COX REGRESSION: THE PROPORTION
Page 789 and 790:
14.5 COX REGRESSION: THE PROPORTION
Page 791 and 792:
Page 793 and 794:
Page 795:
REFERENCES 777 REFERENCES Methodolo
Page 798 and 799:
A-2 APPENDIX STATISTICAL TABLES
Page 800 and 801:
Page 802 and 803:
Page 804 and 805:
Page 806 and 807:
Page 808 and 809:
Page 810 and 811:
Page 812 and 813:
Page 814 and 815:
Page 816 and 817:
Page 818 and 819:
Page 820 and 821:
Page 822 and 823:
Page 824 and 825:
Page 826 and 827:
Page 828 and 829:
Page 830 and 831:
Page 832 and 833:
Page 834 and 835:
Page 836 and 837:
Page 838 and 839:
Page 840 and 841:
Page 842 and 843:
Page 844 and 845:
Page 846 and 847:
Page 848 and 849:
Page 850 and 851:
Page 852 and 853:
Page 854 and 855:
Page 856 and 857:
Page 858 and 859:
Page 860 and 861:
Page 862 and 863:
Page 864 and 865:
Page 866 and 867:
Page 868 and 869:
Page 870 and 871:
Page 872 and 873:
Page 874 and 875:
Page 876 and 877:
Page 878 and 879:
Page 880 and 881:
Page 882 and 883:
Page 884 and 885:
Page 886 and 887:
Page 888 and 889:
Page 890 and 891:
Page 892 and 893:
Page 894 and 895:
Page 896 and 897:
Page 898 and 899:
Page 900 and 901:
Page 903 and 904:
ANSWERS TO ODD-NUMBERED EXERCISES C
Page 905 and 906:
ANSWERS TO ODD-NUMBERED EXERCISES A
Page 907 and 908:
Page 909 and 910:
Page 911 and 912:
Page 913 and 914:
Page 915 and 916:
Page 917 and 918:
Page 919 and 920:
Page 921 and 922:
Page 923 and 924:
Page 925 and 926:
Page 927 and 928:
Page 929 and 930:
Page 931 and 932:
Page 933 and 934:
Page 935 and 936:
Page 937 and 938:
Page 939 and 940:
Page 941 and 942:
Page 943 and 944:
Page 945 and 946:
Page 947 and 948:
Page 949:
Page 952 and 953:
I-2 INDEX Confidence coefficient, 1
Page 954 and 955:
I-4 INDEX Median test, 686-689 MINI
Page 956 and 957:
I-6 INDEX SAS: and chi-square analy
show all

Biostatistics

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?