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 tional problems of surveys from high-quality probability samples.

5 nce exist due to lack of AANHPI longitudinal probability samples.

6 replicated in national surveys that use area probability samples.

7 infants with type 1 ROP, selected using non-probability sampling.

8 aged 9-20 years, recruited using multistage probability sampling.

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

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

11 Identified through a probability sample, 2023 anthropogenic land use conversi

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

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

14 eak panel, an address-based panel with known probability sampling and coverage of 97% of US household

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

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

17 presentative survey using complex multistage probability sampling, anthropometric factors, biomarkers

18 signs" are as follows: use of a high-quality probability sample as a population surrogate to provide

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

20 reviously reported nationally representative probability sample data of the Korean population.

21 We introduce Decision-Explicit Probability Sampling (DEPS), a novel method to perform i

22 ive cohort study, uses a 4-stage, stratified probability sample design to select participants aged 12

23 The main limitation of the study was its non-probability sample design.

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

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

26 or older and were selected via a multistage probability sampling design to ensure that surveys were

27 A multistage probability sampling design was used to draw a sample of

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

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

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

31 and Nutrition Examination Survey multistage probability sampling design.

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

33 survey used an independent, multistage area probability sample for all states to produce nationally

34 1,289 men and women from a population-based probability sample from Dallas, Texas.

35 The probability sample from the Health and Retirement Study

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

37 fielded a survey experiment with a national probability sample in Germany (N = 3229) that varied emp

38 aseline sample generally using a multi-stage probability sample including a stratified random sample

39 assume that all information collected in the probability sample is recorded without errors.

40 In most circumstances, probability sampling is the only way to ensure unbiased

41 The convenience non-probability sampling limits generalisability.

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

43 at baseline using a multistage, stratified, probability sampling method.

44 0 to 103 years) was selected by a multistage probability sampling method.

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

46 2782 participants in the community-dwelling, probability-sampled, multiethnic Dallas Heart Study were

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

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

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

50 National probability sample (National Health and Nutrition Examin

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

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

53 sponses to 13 questions from a 2022 national probability sample of 1,154 US adults supported the exis

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

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

56 cs serving each sampled hospital, yielding a probability sample of 1021 births.

57 A probability sample of 1043 English-speaking prehurricane

58 Probability sample of 1087 community-living persons in N

59 A probability sample of 10927 crashes involving 17132 rest

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

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

62 9650 incident suicide attempts and an equal-probability sample of 153528 control person-months for o

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

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

65 87 patients transported by EMS, a stratified probability sample of 17633 patients (1438 rural and 161

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

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

68 : In this cross-sectional study, a household probability sample of 1970 adults living in Flint, Michi

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

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

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

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

73 A probability sample of 2864 persons, representing all 231

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

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

76 96, we mailed questionnaires to a stratified probability sample of 3102 physicians in the 10 specialt

77 A probability sample of 3616 crashes involving 4243 childr

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

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

80 NTS: This cross-sectional survey comprised a probability sample of 522 parent-teen (aged 15-17 years)

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

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

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

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

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

86 stem, a nationally representative stratified probability sample of 96 hospitals in the US.

87 The STARRS-LS1 recruited a probability sample of active-duty soldiers and veterans

88 conducted from March to June 2023 included a probability sample of adolescents (aged 13-17 years) who

89 A probability sample of adolescents living across the US w

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

91 February and September 2020 with a household probability sample of adults from 6 communities that had

92 medical chart abstraction was conducted on a probability sample of adults hospitalized with laborator

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

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

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

96 Using a probability sample of American adults aged 49+, 2370 res

97 Using a national address-based probability sample of American adults in 2020 and a stru

98 arge gold-standard nationally representative probability sample of Americans.

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

100 dy used a cross-sectional design to survey a probability sample of caregivers of children aged 4 to 1

101 In a probability sample of clients who were pre-trained on a

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

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

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

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

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

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

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

109 In this preregistered study (N = 1356, probability sample of Dutch households), we address thes

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

111 ce using the Time 1 (baseline) data, using a probability sample of facilities to allow for this analy

112 inic-based electronic medical records from a probability sample of facilities.

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

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

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

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

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

118 or Research on Child Health study produced a probability sample of Michigan births between 2017 and 2

119 ent in the United States (MIDUS), a national probability sample of noninstitutionalized, English-spea

120 1,363 children in grades 1 through 5 from a probability sample of North Carolina (NC) schoolchildren

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

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

123 We surveyed a probability sample of primary care physicians practicing

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

125 Associations in a 3-year U.S. national probability sample of sexual minority adults were assess

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

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

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

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

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

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

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

133 The study population was a probability sample of US adults aged 50 years and older.

134 A subset of the probability sample of US adults who voluntarily provided

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

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

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

138 a multistage, clustered, and stratified area probability sample of US households were included, exclu

139 Based on a representative national probability sample of voters interviewed in both 2020 an

140 multicohort study, nationally representative probability samples of 51 223 adolescents in the USA wer

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

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

143 The study analyzed national household probability samples of the civilian noninstitutionalized

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

145 The surveys were administered to national probability samples of US students in grades 6 to 12.

146 The cohort was created using random cluster probability sampling of noninstitutionalized civilian US

147 oninstitutionalized adults recruited through probability sampling of randomly selected households.

148 hods were used to account for the stratified probability sampling of the cohort.

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

150 thods suggest integrating data from external probability sample, often collected by government agenci

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

152 s were reported from 2000-2019, a stratified probability sample representing approximately 238,162 in

153 ulation-based study using multistage complex probability sampling strategy to provide representative

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

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

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

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

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

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

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

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

162 e Survey, an annual cross-sectional national probability sample survey of EDs, was used to examine me

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

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

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

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

167 bling Survey: a cross-sectional, online, non-probability sample survey of young adults aged 16-24 yea

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

169 al Ambulatory Medical Care Survey, an annual probability sample survey, was conducted from January 20

170 chiatric Morbidity Survey, a cross-sectional probability-sample survey of the household population in

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

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

173 and harassment (WBH) in the UK has not used probability-sample surveys with robust mental health ass

174 21, respondents were recruited through a non-probability sampling technique.

175 HANES is a US national stratified multistage probability sample that includes a household interview f

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

177 red in November, 2020, using convenience non-probability sampling through social media.

178 at addressing misclassification bias in the probability sample to improve the performance of the dat

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

180 The traditional use of high-quality probability samples to carry out psychiatric epidemiolog

181 line panels with small parallel high-quality probability samples to enhance the practicality of carry

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

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

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

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

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

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