ライフサイエンスコーパス: probability sample

1 eart Study, a multiethnic, population-based, probability sample.

2 white) men and women from a population-based probability sample.

3 ns on the basis of nationally representative probability samples.

4 replicated in national surveys that use area probability samples.

5 A sample was selected by convenience non-probability sampling.

6 studies: random digit dialing (RDD) and area probability sampling.

7 ts transported by EMS (17633 patients in the probability sample), 27535 were women (51.5%); mean (SD)

8 e community using a stratified and clustered probability sample and were followed longitudinally.

9 eart Study, a multiethnic, population-based, probability sample, and compared levels of CRP between d

10 IV patients, the existing studies do not use probability samples, and no accurate population estimate

11 re age 30 and taking insulin (n = 996) and a probability sample (based on duration of disease) of per

12 mator that ignores the effects of an unequal probability sample design.

13 used a multistage, clustered, and stratified probability sample design.

14 A multistage area probability sampling design was used to identify study l

15 mination Survey (NHANES), using a multistage probability sampling design, included a vision evaluatio

16 ng 1988 to 1994 by a stratified, multi-stage probability sampling design.

17 and Nutrition Examination Survey multistage probability sampling design.

18 ithout EOP were identified within a national probability sample examined during the 1986/87 survey of

19 1,289 men and women from a population-based probability sample from Dallas, Texas.

20 ns aged 45-64 years who had been selected by probability sampling from 4 different US communities in

21 of age obtained by a stratified, multi-stage probability sampling method in 1988 to 1994.

22 0 to 103 years) was selected by a multistage probability sampling method.

23 an 432,000 ha of forests based on a designed probability sampling methodology.

24 2782 participants in the community-dwelling, probability-sampled, multiethnic Dallas Heart Study were

25 A probability sample (N = 3,012) was used to represent the

26 y symptoms using a nationally representative probability sample (n = 4,008) of older, community-dwell

27 ng (n = 652) and those obtained through area probability sampling (n = 640).

28 National probability sample (National Health and Nutrition Examin

29 A national probability sample of 1,000 adults aged 18 and older liv

30 A representative multistage probability sample of 1,023 adults aged >/= 35 years was

31 l Ghana which determined seroprevalence in a probability sample of 1,385 individuals of all ages, and

32 ESIGN, SETTING, AND PARTICIPANTS: A national probability sample of 1017 Cambodians was assembled usin

33 A probability sample of 1043 English-speaking prehurricane

34 Probability sample of 1087 community-living persons in N

35 A probability sample of 10927 crashes involving 17132 rest

36 We conducted a prospective study of a probability sample of 1103 people over 71 years of age w

37 Expenditures Panel Survey (MEPS), a national probability sample of 14,147 households including 34,551

38 9650 incident suicide attempts and an equal-probability sample of 153528 control person-months for o

39 udy of Latinos) recruited a population-based probability sample of 16,415 Hispanics/Latinos aged 18-7

40 nos researchers recruited a population-based probability sample of 16,415 Hispanics/Latinos, 18-74 ye

41 87 patients transported by EMS, a stratified probability sample of 17633 patients (1438 rural and 161

42 We analyzed a systematic probability sample of 180 newspaper articles (60 for eac

43 ta from 9791 suicide attempters and an equal-probability sample of 183,826 control person-months usin

44 ical care in the contiguous United States, a probability sample of 2,864 adults who had paid at least

45 We surveyed a probability sample of 2023 US HIV care providers in 2013

46 ESIGN, SETTING, AND PARTICIPANTS: A national probability sample of 2729 adults (78.1% participation r

47 We enrolled a nationally representative probability sample of 2864 adults receiving care for HIV

48 A probability sample of 2864 persons, representing all 231

49 Cross-sectional survey of a US probability sample of 2864, which represents 231 400 adu

50 ivity, behaviors, and problems in a national probability sample of 3005 U.S. adults (1550 women and 1

51 96, we mailed questionnaires to a stratified probability sample of 3102 physicians in the 10 specialt

52 A probability sample of 3616 crashes involving 4243 childr

53 The 2008 NHAMCS is a national probability sample of 396 hospitals (90.2% unweighted re

54 urvey of American Life, a national household probability sample of 5181 black respondents aged 18 yea

55 ent of CDAs was conducted in 2008, drawing a probability sample of 7328 children from all infants bor

56 inning in 1989, providing a population-based probability sample of 791 middle-aged adults (mean [SD]

57 ent Survey, consisting of data on a national probability sample of 8,739 persons, ages 51-61, who wer

58 Expenditure Panel Survey (MEPS), a national probability sample of 9,488 households, which includes r

59 ey Replication (NCS-R) is a population-based probability sample of 9282 participants 18 years and old

60 The authors interviewed a household probability sample of adults 6-9 months after the 2004 h

61 n the Dallas Heart Study, a population-based probability sample of adults in Dallas County </=65 year

62 PARTICIPANTS: A cross-sectional survey of a probability sample of all accredited training programs i

63 comprises 91 hospitals that are a stratified probability sample of all hospitals in the United States

64 the Epidemiologic Catchment Area program, a probability sample of Baltimore residents selected by ce

65 vey Among the Oldest Old (AHEAD), a national probability sample of community-dwelling adults born bef

66 vey Among the Oldest Old (AHEAD), a national probability sample of community-dwelling adults.

67 Subjects were participants of a stratified probability sample of community-dwelling persons > or =

68 h December 31, 2009 (n = 9650), and an equal-probability sample of control person-months (n = 153 528

69 Heart Study (a multi-ethnic population-based probability sample of Dallas County residents) and 1149

70 the Dallas Heart Study, a population-based, probability sample of Dallas County, Texas, residents, w

71 demographic, clinical, and payment data on a probability sample of discharges from short-stay facilit

72 the Health and Retirement Study, a national probability sample of elderly Americans.

73 For incident, hospitalized MI, a probability sample of hospital discharges was validated

74 Expenditures Panel Survey (MEPS), a national probability sample of households.

75 rus-infected women who were recruited from a probability sample of low-income hotels, homeless shelte

76 DESIGN, SETTING, AND RESPONDENTS: A probability sample of Medicare beneficiaries living in h

77 A household-based probability sample of men who have sex with men (N=2,881

78 1,363 children in grades 1 through 5 from a probability sample of North Carolina (NC) schoolchildren

79 r HIV Study Group surveyed a cross-sectional probability sample of persons with AIDS who tested posit

80 urban and rural areas to produce a national probability sample of persons with HIV receiving medical

81 We surveyed a probability sample of primary care physicians practicing

82 ronic Injury Surveillance System, a national probability sample of randomly selected hospitals with 2

83 This was a follow-up study of a probability sample of the adult household residents of E

84 The study was an 11.5-year follow-up of a probability sample of the adult household residents of e

85 a cross-sectional, nationally representative probability sample of the United States.

86 revalence estimates of the BPD spectrum in a probability sample of the United States.

87 lts aged older than 18 years, representing a probability sample of the US civilian population.

88 This survey is a complex, multistage, probability sample of the US noninstitutionalized civili

89 NHANES I collected information on a probability sample of the US population in 1971-1975.

90 the National Comorbidity Survey, a national probability sample of US civilians who completed structu

91 eligible ICD-9-CM codes), an all-payer, 20% probability sample of US community hospitals.

92 tal Ambulatory Medical Care Survey (2010), a probability sample of US EDs and ED visits.

93 nal Mortality Followback Surveys, which were probability samples of all deaths in the United States w

94 Medical records from national probability samples of ED and outpatient visits by adult

95 MS), based on three-stage stratified cluster probability samples of the Russian population.

96 ational survey data obtained from multistage probability sampling of the US noninstitutionalized popu

97 A multi-stage probability sample representing 8th to 12th grade U.S. s

98 performed in Porto Alegre using a multistage probability sampling strategy to select a representative

99 A multistage probability sampling strategy was used to draw a represe

100 We undertook a probability sample survey (the third National Survey of

101 We did a probability sample survey between 1999 and 2001, of men

102 This population-based stratified probability sample survey included 4728 persons aged 55-

103 We did a stratified probability sample survey of 11161 men and women aged 16

104 We did a stratified probability sample survey of 11161 men and women aged 16

105 ween Sept 6, 2010 and Aug 31, 2012, we did a probability sample survey of 15,162 women and men aged 1

106 We did a probability sample survey of men and women aged 16-44 ye

107 DINGS: We conducted a multi-stage stratified probability sample survey of migrant (defined as not bor

108 is a cross-sectional, stratified, multistage probability sample survey of the US civilian, noninstitu

109 een Sept 6, 2010, and Aug 31, 2012, we did a probability sample survey of women and men aged 16-74 ye

110 We did a probability sample survey, the third National Survey of

111 We analyzed data from stratified probability sample surveys obtained through the British

112 Data from similar probability sample surveys: Natsal-1 (1990-91), Natsal-2

113 y (HCSUS), created a representative national probability sample, the first of its kind, of HIV-infect

114 y, which is based on a stratified multistage probability sample to produce nationally representative

115 The raw response rate for this probability sample was 52%, and the weighted response ra

116 The unweighted survey response rate for this probability sample was 74.8%, and the weighted response

117 sitive predictive value in this high pretest probability sample was 92.1% (95% CI, 83.6%-97.0%).

118 Non-probability sampling was employed and the survey was tar

119 Using convenience and probability sampling, we selected 23 health facilities,

120 ears or older with arthritis from a national probability sample were analyzed.