1 00:00:08,870 --> 00:00:07,030 ever wonder what happens to all of the 2 00:00:11,270 --> 00:00:08,880 data that comes back from astronaut 3 00:00:13,270 --> 00:00:11,280 experiments on the space station iss 4 00:00:15,110 --> 00:00:13,280 commentator lori meigs at nasa's 5 00:00:17,189 --> 00:00:15,120 marshall space flight center met a man 6 00:00:18,950 --> 00:00:17,199 who has the job of keeping the stats on 7 00:00:22,470 --> 00:00:18,960 all of that for the human research 8 00:00:24,070 --> 00:00:22,480 program at nasa biostatistician 9 00:00:26,150 --> 00:00:24,080 we talk a lot about all these 10 00:00:28,950 --> 00:00:26,160 experiments and all this biological 11 00:00:30,710 --> 00:00:28,960 research but somebody has to kind of 12 00:00:33,670 --> 00:00:30,720 keep the stats on all that is that your 13 00:00:35,110 --> 00:00:33,680 job yeah so so what a biostatistician 14 00:00:37,190 --> 00:00:35,120 does 15 00:00:38,470 --> 00:00:37,200 ideally we like to get involved 16 00:00:40,549 --> 00:00:38,480 in the research 17 00:00:42,709 --> 00:00:40,559 program as it's just starting to be 18 00:00:44,630 --> 00:00:42,719 developed as the principal investigator 19 00:00:46,709 --> 00:00:44,640 team is just starting to pull their 20 00:00:48,470 --> 00:00:46,719 ideas together about what kind of 21 00:00:50,389 --> 00:00:48,480 experiments they want to run 22 00:00:53,029 --> 00:00:50,399 what their hypotheses are how they plan 23 00:00:55,029 --> 00:00:53,039 to test those hypotheses ideally we 24 00:00:56,709 --> 00:00:55,039 would be brought into that that team 25 00:00:58,950 --> 00:00:56,719 early on 26 00:01:00,869 --> 00:00:58,960 because in addition to the statistics 27 00:01:02,790 --> 00:01:00,879 and an integral part of of the 28 00:01:04,950 --> 00:01:02,800 statistics that will be run 29 00:01:06,950 --> 00:01:04,960 at the study's completion 30 00:01:09,190 --> 00:01:06,960 is the experimental design itself and 31 00:01:12,149 --> 00:01:09,200 often that's when we can really provide 32 00:01:14,149 --> 00:01:12,159 the most help it's it's ironic that this 33 00:01:17,429 --> 00:01:14,159 sort of the that we think of statistics 34 00:01:19,990 --> 00:01:17,439 as the last part of a research study 35 00:01:22,469 --> 00:01:20,000 that leads to the final report 36 00:01:25,109 --> 00:01:22,479 but we can be most helpful at the very 37 00:01:26,950 --> 00:01:25,119 beginning planning stages of the study 38 00:01:28,149 --> 00:01:26,960 where we might be able to sort of help 39 00:01:30,950 --> 00:01:28,159 influence 40 00:01:32,950 --> 00:01:30,960 what kinds of data they collect 41 00:01:34,870 --> 00:01:32,960 what kinds of other data that maybe they 42 00:01:37,510 --> 00:01:34,880 hadn't thought of could be important in 43 00:01:39,109 --> 00:01:37,520 the interpreting of their results so we 44 00:01:41,190 --> 00:01:39,119 try to think about all of that and the 45 00:01:44,469 --> 00:01:41,200 experimental design as well 46 00:01:45,510 --> 00:01:44,479 to to plan the very best study that we 47 00:01:47,830 --> 00:01:45,520 think 48 00:01:50,870 --> 00:01:47,840 can be done and so we need to make the 49 00:01:52,710 --> 00:01:50,880 absolute best out of every piece of data 50 00:01:54,870 --> 00:01:52,720 we can get 51 00:01:57,030 --> 00:01:54,880 is it surprising to you how 52 00:01:59,030 --> 00:01:57,040 space station has evolved now and i i 53 00:02:01,510 --> 00:01:59,040 guess you're probably busier than ever 54 00:02:03,590 --> 00:02:01,520 yeah um as as we're in full utilization 55 00:02:05,510 --> 00:02:03,600 yeah it's incredible right because 56 00:02:07,350 --> 00:02:05,520 you know we're full utilization now 57 00:02:08,869 --> 00:02:07,360 there's a tremendous amount of research 58 00:02:10,309 --> 00:02:08,879 that's going on 59 00:02:11,510 --> 00:02:10,319 i think something 60 00:02:13,430 --> 00:02:11,520 something that a lot of people don't 61 00:02:15,030 --> 00:02:13,440 recognize is that you know the the 62 00:02:16,630 --> 00:02:15,040 astronauts are 63 00:02:18,470 --> 00:02:16,640 they serve two roles right there are 64 00:02:20,470 --> 00:02:18,480 research technicians they're an 65 00:02:22,949 --> 00:02:20,480 extension of the principal investigator 66 00:02:24,229 --> 00:02:22,959 but they're also for the human side of 67 00:02:26,470 --> 00:02:24,239 of the research enterprise they're 68 00:02:28,630 --> 00:02:26,480 they're the experimental subjects too 69 00:02:30,949 --> 00:02:28,640 and there are so many studies that are 70 00:02:32,070 --> 00:02:30,959 that are important and they're all uh 71 00:02:33,350 --> 00:02:32,080 they're all important and they're all 72 00:02:35,509 --> 00:02:33,360 being flown 73 00:02:37,509 --> 00:02:35,519 but there's only so much time that an 74 00:02:39,589 --> 00:02:37,519 astronaut can give 75 00:02:42,470 --> 00:02:39,599 and they participate in as many 76 00:02:44,790 --> 00:02:42,480 experiments as they possibly can but but 77 00:02:46,949 --> 00:02:44,800 their time is really really valuable so 78 00:02:48,790 --> 00:02:46,959 so sample sizes unfortunately aren't as 79 00:02:51,030 --> 00:02:48,800 big as we'd like them to be there's only 80 00:02:53,110 --> 00:02:51,040 a handful of astronauts or cosmonauts 81 00:02:55,110 --> 00:02:53,120 flying at any given time 82 00:02:57,670 --> 00:02:55,120 they're up there for a long time most of 83 00:03:00,710 --> 00:02:57,680 the experiments involve pre-flight and 84 00:03:02,630 --> 00:03:00,720 in-flight and post-flight dimensions to 85 00:03:03,589 --> 00:03:02,640 them so it takes years to complete the 86 00:03:05,350 --> 00:03:03,599 study 87 00:03:07,670 --> 00:03:05,360 so yeah we have to be really lean and 88 00:03:09,509 --> 00:03:07,680 mean when it comes to sample size and 89 00:03:11,270 --> 00:03:09,519 and really crisp clean experimental 90 00:03:12,630 --> 00:03:11,280 designs 91 00:03:14,550 --> 00:03:12,640 do you want to talk about some of the 92 00:03:16,550 --> 00:03:14,560 successes you've seen i mean can you 93 00:03:17,430 --> 00:03:16,560 talk specifically about something yeah 94 00:03:18,710 --> 00:03:17,440 um 95 00:03:21,030 --> 00:03:18,720 you know we've 96 00:03:22,470 --> 00:03:21,040 we've come a long way in the hrp program 97 00:03:24,789 --> 00:03:22,480 even just in the in the period of time 98 00:03:26,949 --> 00:03:24,799 that i've been involved with nasa i 99 00:03:28,789 --> 00:03:26,959 think we're getting smarter you know we 100 00:03:30,070 --> 00:03:28,799 we recognize that there are in terms of 101 00:03:32,149 --> 00:03:30,080 human research there are some things 102 00:03:34,789 --> 00:03:32,159 that we just can't change we'd love to 103 00:03:37,830 --> 00:03:34,799 have a dozen space stations flying 104 00:03:39,430 --> 00:03:37,840 around each with a dozen or more human 105 00:03:41,270 --> 00:03:39,440 astronauts that can help us with our 106 00:03:43,430 --> 00:03:41,280 research but the fact is we got one 107 00:03:45,110 --> 00:03:43,440 space station with a handful of subjects 108 00:03:46,789 --> 00:03:45,120 so we've gotten really smart about how 109 00:03:48,390 --> 00:03:46,799 to use their data 110 00:03:50,309 --> 00:03:48,400 we do a lot more in terms of 111 00:03:52,070 --> 00:03:50,319 standardized measurements and we try to 112 00:03:53,830 --> 00:03:52,080 communicate with all of our investigator 113 00:03:55,750 --> 00:03:53,840 teams that hey these are things that we 114 00:03:57,350 --> 00:03:55,760 collect on astronauts all the time try 115 00:03:59,030 --> 00:03:57,360 to work these in if they're relevant and 116 00:04:01,509 --> 00:03:59,040 we've kind of tried to 117 00:04:03,830 --> 00:04:01,519 hone in and fine-tune those but i think 118 00:04:05,830 --> 00:04:03,840 that the the other aspect that i'm proud 119 00:04:07,589 --> 00:04:05,840 about is that um 120 00:04:09,750 --> 00:04:07,599 that that the people like me like 121 00:04:11,750 --> 00:04:09,760 biostatisticians are involved with the 122 00:04:13,429 --> 00:04:11,760 researchers in lots of different labs to 123 00:04:15,270 --> 00:04:13,439 try to have a better sort of team 124 00:04:17,110 --> 00:04:15,280 approach so we can all bring our 125 00:04:20,390 --> 00:04:17,120 collective expertise in making that 126 00:04:22,310 --> 00:04:20,400 research possible stuff with with small 127 00:04:24,150 --> 00:04:22,320 and is is a particular struggle that i 128 00:04:26,469 --> 00:04:24,160 have and i can bring some expertise to 129 00:04:28,230 --> 00:04:26,479 that that may be a principal 130 00:04:30,629 --> 00:04:28,240 investigator in the neuro lab or the 131 00:04:32,790 --> 00:04:30,639 cardio lab or the muscle exercise lab 132 00:04:34,950 --> 00:04:32,800 maybe they don't know that expertise in 133 00:04:36,550 --> 00:04:34,960 particular but when we when we team up 134 00:04:37,909 --> 00:04:36,560 and we work together i think i think we 135 00:04:41,590 --> 00:04:37,919 have a much better 136 00:04:43,510 --> 00:04:41,600 outcome so yeah we are learning a lot 137 00:04:45,830 --> 00:04:43,520 in all these different disciplines it's 138 00:04:48,310 --> 00:04:45,840 a slow process but uh but it's very 139 00:04:49,670 --> 00:04:48,320 deliberate it's very planned and i think 140 00:04:52,310 --> 00:04:49,680 it's you know we're starting to come up 141 00:04:54,790 --> 00:04:52,320 with uh some some interesting results 142 00:04:56,790 --> 00:04:54,800 uh science is science right so this will 143 00:04:58,870 --> 00:04:56,800 always be pushing the next boundary but 144 00:05:01,029 --> 00:04:58,880 i do think that the human research 145 00:05:02,870 --> 00:05:01,039 program is is getting answers 146 00:05:04,310 --> 00:05:02,880 um so it'll take a while before they 147 00:05:06,469 --> 00:05:04,320 have all the answers that they need i 148 00:05:08,150 --> 00:05:06,479 think and we may never actually get all 149 00:05:09,590 --> 00:05:08,160 the answers we want 150 00:05:11,510 --> 00:05:09,600 but i think we're chipping away at those 151 00:05:13,029 --> 00:05:11,520 really critical questions for for