ライフサイエンスコーパス: random digit dialing

1 matched to cases on age, were identified by random digit dialing.

2 cts of similar age (20-64 years) selected by random digit dialing.

3 The control women were contacted by random digit dialing.

4 tained from control women identified through random digit dialing.

5 1991 and 298 control children identified by random digit dialing.

6 d controls (n = 405) were identified through random digit dialing.

7 nd adults with asthma were recruited through random digit dialing.

8 diatric cancer studies were selected through random digit dialing.

9 re of similar ages and selected primarily by random digit dialing.

10 Controls were sampled by using random digit dialing.

11 ty frequency-matched controls identified via random digit dialing.

12 from the community of each case by means of random digit dialing.

13 their partners or individuals identified via random digit dialing.

14 trols were 450 community women found through random digit dialing.

15 controls included 1,397 women identified by random digit dialing.

16 ects were sampled from ambulatory clinics or random digit dialing.

17 l for each of 504 cases was selected through random digit dialing.

18 selected from the same geographic area using random digit dialing.

19 nd frequency-matched controls selected using random digit dialing.

20 ared with 2,095 controls who were sampled by random digit dialing.

21 men selected from the general population via random digit dialing.

22 ; controls were recruited by telephone using random digit dialing.

23 ng 1984-1994; controls were selected through random digit dialing.

24 were identified from the community by using random digit dialing.

25 ecember 31, 1993, and controls identified by random digit dialing.

26 n without breast cancer) were identified via random-digit dialing.

27 Controls were identified through random-digit dialing.

28 ce, and metropolitan area were identified by random-digit dialing.

29 matched controls by age, sex, ethnicity, and random-digit dialing.

30 l survey of 1006 adults selected by means of random-digit dialing.

31 by telephone after selection with the use of random-digit dialing.

32 prior MI selected from the same region using random-digit dialing.

33 ommunity control probands were identified by random-digit dialing.

34 and 301 control subjects who were reached by random-digit dialing.

35 ing healthy neighborhood women identified by random-digit dialing.

36 l subjects without ESRD who were selected by random-digit dialing (90% response rate).

37 pared with a list of residents obtained from random digit dialing, a list of residents of nursing hom

38 The authors examined controls collected by random digit dialing and birth certificates for a Childr

39 Controls were selected using random digit dialing and frequency matched by ethnicity,

40 Controls (n = 1,717) were men recruited by random digit dialing and frequency matched to cases by a

41 hout breast cancer who were selected through random digit dialing and frequency-matched to cases by a

42 Random digit dialing and Health Care Financing Administr

43 There were 491 controls ascertained by random digit dialing and matched to cases on sex, age, a

44 lation controls (n = 321) identified through random digit dialing and Medicare enrollment files.

45 Controls were identified by using random digit dialing and met the same residential requir

46 1995 (n = 813); controls were identified by random digit dialing and were frequency matched by 5-yea

47 Controls (n = 703) were identified through random digit dialing and were frequency matched to cases

48 Controls were selected using random digit dialing and were frequency-matched to cases

49 Controls were selected by random digit dialing and were individually matched to ca

50 Control subjects were recruited by random-digit dialing and matched to cases by age, sex, a

51 Of 271 controls identified through random-digit dialing and the Health Care Finance Adminis

52 Control parents were ascertained by random-digit dialing and were group matched for age, sex

53 control women, recruited by the technique of random-digit-dialing and frequency-matched on age, compl

54 s conclude that households contacted through random digit dialing are somewhat less likely to partici

55 As random digit dialing becomes increasingly unfeasible for

56 ommunity controls (n = 1139) derived through random digit dialing by age, sex, and race/ethnicity.

57 nterviews of 10,837 households (contacted by random digit dialing), completed a detailed phone interv

58 This underenumeration of women by random digit dialing confirms prior observations, althou

59 one sample, 2) general population cases with random digit dialing controls, and 3) STD clinic cases w

60 sylvania, region during 1999-2002 with 1,412 random-digit-dialing controls regarding postmenopausal h

61 gible households may improve completeness of random digit dialing coverage for female populations.

62 reliability of calls to numbers generated by random digit dialing for a 1990-1996 population-based ca

63 lic health surveillance surveys that rely on random digit dialing for sampling is the exclusion of ad

64 l of 1889 control subjects were recruited by random digit dialing from the same region.

65 ol groups were selected, the first by use of random-digit dialing (geographic controls, n=91) and the

66 Random-digit dialing has been used to find neighborhood

67 Challenges to random digit dialing have been documented, but the relia

68 Random-digit dialing identified two matched control subj

69 commercial database with those recruited by random digit dialing in the context of a hospital-based

70 Random digit dialing is used frequently in epidemiologic

71 An alternative to random-digit dialing is the purchase of residential tele

72 ation-based controls were identified through random digit dialing, matched to patient cases on race a

73 and 491 control subjects identified through random-digit dialing, matched to cases in sex, age, and

74 groups were compared: those obtained through random digit dialing (n = 652) and those obtained throug

75 om the commercial database (n = 82) and from random digit dialing (n = 90) were similar in age and ra

76 US women >25 years of age identified through random-digit dialing (n=1205) and Harris Poll Online (n=

77 quality control effort in which 122 of 4,890 random digit dialing numbers were assigned to a second i

78 e 50 US states and Washington, DC, that used random-digit dialing of cellular phones and benchmarked

79 sessment of the NYAHS methodology found that random-digit dialing of cellular phones is a feasible me

80 8-34 years have only cellular phones, making random-digit dialing of landline telephones an obsolete

81 otential participants were then contacted by random-digit dialing of telephone numbers.

82 rols without history of NHL were selected by random-digit dialing or from Medicare files and frequenc

83 ge (+/-5 years) and sex, were identified via random-digit dialing or Medicare enrollment files.

84 have been documented, but the reliability of random digit dialing outcomes from telephone number call

85 of 133 cases and 270 controls (recruited by random digit dialing) participated.

86 ncerns persist about the potential biases of random digit dialing, particularly given its generally l

87 Controls were recruited using a random digit dialing procedure.

88 om outpatient specialty clinics or through a random-digit dialing procedure.

89 The survey was performed via a random-digit dialing process that selected respondents v

90 ion-based controls for case-control studies: random digit dialing (RDD) and area probability sampling

91 When random digit dialing (RDD) and Health Care Financing Adm

92 2926 partner control participants, and 2638 random digit dialing (RDD) control participants were fol

93 tion and lack of nonparticipant information, random digit dialing (RDD) controls may be substandard.

94 The usefulness of landline random digit dialing (RDD) in epidemiologic studies is t

95 rted difficulty in recruiting controls using random digit dialing (RDD), but few empirical data have

96 Use of random-digit dialing (RDD) for conducting health surveys

97 Random-digit dialing (RDD) using landline telephone numb

98 n who lived in these counties, identified by random digit dialing, served as controls.

99 BRFSS) expanded a traditional landline-based random digit dialing survey to a dual-frame survey of la

100 ire population of the county, we conducted a random-digit dialing survey (456 residents).

101 The authors conclude that random digit dialing surveys coupled with mail collectio

102 reening and enumerating household members in random digit dialing surveys that target a specific subp

103 5 years) were selected for each case using a random digit dialing technique.

104 uthors investigated the feasibility of using random digit dialing telephone interviews to locate adul

105 thors compared 1) STD clinic patients with a random digit dialing telephone sample, 2) general popula

106 We used 2 components of data: 1) dual-frame random digit dialing telephone survey data from 3,806 ad

107 une and December of 1994, a cross-sectional, random digit dialing telephone survey was conducted amon

108 Three random digit dialing telephone surveys of adults in prog

109 age in the population was measured through a random-digit-dialing telephone survey.

110 Using random-digit dialing three to five days after September

111 We used random-digit dialing to contact a representative sample

112 We used incidence-density sampling and random-digit dialing to recruit control participants age

113 to those of cases at a lower cost than when random digit dialing was used but did not result in a hi

114 Random digit dialing was used to recruit adult participa

115 Random digit dialing was used to select the sample, and

116 Association-sponsored telephone survey using random-digit dialing was conducted in June and July of 2

117 A modified version of random-digit dialing was used to recruit subjects.

118 Controls (n = 836) identified by random digit dialing were frequency matched by age and c

119 s Cancer Group) and 318 controls selected by random digit dialing were interviewed.

120 503 persons aged 50+ recruited by random digit dialing were randomly assigned to one of th

121 tative sample of 1008 women selected through random-digit dialing were given a standardized questionn

122 ses with those of 568 controls identified by random digit dialing who were frequency matched to cases