Summary

The sample size necessary to detect a significant reduction in change over time (80% power; alpha=0.5) was determined in a sample of 65 participants with PSP. Analyses were completed first within the full sample. Follow-up analyses were completed in subsamples: 1) FTLD-CDR global score <= 1; and 2); FTLD-CDR global score ≤ 1 and baseline PSPRS ≤ 25. All results suggest that the PSPRS provides the strongest signal, followed by the FTLD-CDR Sum of boxes score. Regarding cognitive measures, Semantic fluency (specifically Animals) and Trial Making Test B provide the strongest signal. The UDS3-EF, a composite of executive functioning, does not provide a better signal as compared to Animals or Trails B.
The first tab (data set) provides descriptions of the data.

Dataset

Full Dataset description

## [1] "Sample is reduced to those with two time points."
## [1] "Simple change score is calculated (Varible at time 2 minus variable at time 1)."
## [1] "If participant has more than two visits, the first two visits are used."
## [1] "Results are displayed for those change scores."
## [1] "Power set to 80%, alpha - 0.5"
##          Variable  N   Mean   Drug_effect Treated_Mean Estimated_Sample
## 1      moca_total 43  7.535 30% reduction        5.274              370
## 2  psprs_totalcln 61  1.631 30% reduction        1.142              559
## 3     ftldcdr_sob 48 -1.604 30% reduction       -1.123             1059
## 4         uds3_ef 43   1.15 30% reduction        0.805             1464
## 5     uds.ef.rest 31  2.879 30% reduction        2.015             1697
## 6      flu_animal 47 -1.085 30% reduction        -0.76             2180
## 7         flu_veg 49 -1.265 30% reduction       -0.886             2416
## 8      flu_fwords 50  -0.76 30% reduction       -0.532             2691
## 9        udsvertn 49 -0.653 30% reduction       -0.457             2699
## 10     flu_lwords 51 -0.128 30% reduction        -0.09             3061
## 11   traila_ratio 53 -0.138 30% reduction       -0.096             3767
## 12   trailb_ratio 47 -0.362 30% reduction       -0.253             4251
## 13   dig_back_sum 49 -0.551 30% reduction       -0.386             4951
Overall
n 65
days_between_visit (mean (SD)) 286.34 (82.04)
age_at_visit (mean (SD)) 68.20 (7.42)
education (mean (SD)) 15.69 (2.56)
sex_at_birth = M (%) 37 (56.9)
ftldcdr_global (%)
0 1 ( 1.5)
0.5 21 (32.3)
1 28 (43.1)
2 13 (20.0)
3 2 ( 3.1)
genetic_status (%)
MAPT 2 ( 3.1)
NONE-Research genetic testing completed and no mutation identified 48 (73.8)
OTHER-Variant of unknown significance 3 ( 4.6)
Pending results 12 (18.5)
moca_total (mean (SD)) 21.32 (4.67)
psprs_totalcln (mean (SD)) 29.64 (12.01)
ftldcdr_sob (mean (SD)) 5.25 (3.88)
uds3_ef (mean (SD)) -2.03 (0.80)
uds.ef.rest (mean (SD)) -2.09 (0.94)
flu_animal (mean (SD)) 11.59 (5.06)
flu_veg (mean (SD)) 7.70 (3.49)
flu_fwords (mean (SD)) 7.17 (4.24)
flu_lwords (mean (SD)) 6.71 (3.71)
traila_ratio (mean (SD)) 3.32 (2.41)
udsvertn (mean (SD)) 13.91 (7.60)
trailb_ratio (mean (SD)) 13.60 (14.74)
dig_back_sum (mean (SD)) 4.36 (1.90)

Datset by FTLD CDR Global Score

0 0.5 1 2 3 p test
n 1 21 28 13 2
days_between_visit (mean (SD)) NaN (NA) 310.45 (99.82) 270.92 (69.39) 261.46 (56.47) 407.50 (26.16) 0.038
age_at_visit (mean (SD)) 80.00 (NA) 68.38 (6.89) 68.04 (6.54) 70.15 (6.56) 50.00 (7.07) NA
education (mean (SD)) 18.00 (NA) 15.81 (2.46) 16.07 (2.43) 14.46 (2.90) 16.00 (2.83) NA
sex_at_birth = M (%) 1 (100.0) 11 (52.4) 18 (64.3) 6 (46.2) 1 (50.0) 0.698
genetic_status (%) 0.002
MAPT 0 ( 0.0) 0 ( 0.0) 1 ( 3.6) 0 ( 0.0) 1 (50.0)
NONE-Research genetic testing completed and no mutation identified 1 (100.0) 18 (85.7) 18 (64.3) 11 (84.6) 0 ( 0.0)
OTHER-Variant of unknown significance 0 ( 0.0) 0 ( 0.0) 2 ( 7.1) 0 ( 0.0) 1 (50.0)
Pending results 0 ( 0.0) 3 (14.3) 7 (25.0) 2 (15.4) 0 ( 0.0)
moca_total (mean (SD)) 23.00 (NA) 23.24 (3.46) 21.70 (3.89) 18.20 (5.49) 8.00 (NA) NA
psprs_totalcln (mean (SD)) 22.00 (NA) 23.62 (10.01) 30.21 (10.23) 39.50 (8.98) 50.50 (21.92) NA
ftldcdr_sob (mean (SD)) 0.00 (NA) 2.14 (0.95) 4.86 (1.52) 9.50 (2.28) 18.50 (0.71) NA
uds3_ef (mean (SD)) -1.07 (NA) -1.86 (0.98) -2.03 (0.72) -2.32 (0.61) -2.87 (NA) NA
uds.ef.rest (mean (SD)) -1.04 (NA) -1.78 (0.99) -2.09 (0.92) -2.62 (0.69) -3.11 (NA) NA
flu_animal (mean (SD)) 13.00 (NA) 14.33 (5.55) 11.22 (4.17) 8.00 (3.50) 3.00 (NA) NA
flu_veg (mean (SD)) 10.00 (NA) 9.42 (3.55) 7.22 (3.03) 6.11 (2.93) 0.00 (NA) NA
flu_fwords (mean (SD)) 11.00 (NA) 8.63 (3.74) 7.33 (4.33) 4.45 (3.59) 1.00 (NA) NA
flu_lwords (mean (SD)) 9.00 (NA) 7.61 (4.19) 6.67 (3.73) 5.27 (2.80) 5.00 (NA) NA
traila_ratio (mean (SD)) 0.96 (NA) 2.85 (1.42) 3.30 (2.61) 4.63 (3.19) NaN (NA) NA
udsvertn (mean (SD)) 20.00 (NA) 16.44 (7.55) 14.00 (7.73) 9.73 (6.00) 6.00 (NA) NA
trailb_ratio (mean (SD)) 3.29 (NA) 12.59 (12.88) 12.94 (13.09) 18.29 (22.03) NaN (NA) NA
dig_back_sum (mean (SD)) 5.00 (NA) 4.42 (2.24) 4.28 (1.67) 4.67 (1.94) 2.00 (NA) NA

Sample Size Estimates

Each analysis below is based on the change over time in the data set described above. A difference score was calculated (Visit 2 score - Visit 1 score). This difference was then annualized: [difference score / days between visits ] * 365. I also created a version of this where the raw scores were converted to Z scores based on baseline distributions. Then that z score was annualized. Therefore we have 3 variables of interest (and SD) based on units:

Raw score units: Difference (Diff SD)

Annualized units: Annualized decline (Ann. SD)

Annualized Z score: Annualized Z-Score Decline (Ann. Z. SD)

I calculated necessary sample size for each measure to detect a hypothetical drug effect that reduced decline by 30%. Power was set at .8 with an alpha of .05. Let me know if you want any other values here.

I completed analyses first in the full sample, then in sub samples that were closer to what would be in the actual trial. The tables below present the estimated sample sizes for:

Raw score units: SampleSize_RawUnits

Annualized units: SampleSize_ann

Annualized Z score: SampleSize_AnnZ

Analyses based on full sample

Variable Sample Size Difference Diff. SD Annualized Decline Ann. SD Annualized Z-score Decline Ann. Z. SD SampleSize_rawunits SampleSize_ann SampleSize_annZ
psprs_totalcln 43 9.349 12.089 13.083 18.684 1.041 1.487 79 97 97
perscare 61 0.525 0.744 0.729 1.070 0.925 1.359 95 102 102
ftldcdr_sob 61 1.885 3.069 2.513 4.418 0.642 1.129 125 146 146
homehobb 61 0.402 0.670 0.534 0.934 0.736 1.287 132 145 145
memory 61 0.213 0.442 0.284 0.640 0.574 1.296 204 241 241
moca_total 49 -1.878 3.998 -2.337 5.352 -0.512 1.172 215 248 248
traila_ratio 42 1.476 3.679 1.967 4.875 1.090 2.701 294 291 291
commun 61 0.230 0.596 0.289 0.808 0.419 1.170 319 368 368
cdrlang 61 0.254 0.681 0.328 0.973 0.596 1.767 340 415 415
flu_animal 47 -1.319 4.192 -1.494 5.656 -0.313 1.183 478 677 677
uds.ef.rest 52 -0.193 0.647 -0.237 0.907 -0.262 0.999 530 690 690
judgment 61 0.123 0.435 0.173 0.593 0.266 0.913 591 559 559
trailb_ratio 31 2.184 8.355 2.649 11.107 0.192 0.804 692 831 831
flu_fwords 50 -0.880 3.420 -1.121 4.730 -0.264 1.112 715 841 841
orient 61 0.123 0.489 0.170 0.693 0.377 1.539 747 787 787
flu_veg 49 -0.653 2.728 -0.804 3.985 -0.233 1.158 825 1163 1163
uds3_ef 51 -0.122 0.552 -0.144 0.755 -0.182 0.956 962 1306 1306
flu_lwords 49 -0.653 3.004 -0.626 4.732 -0.164 1.243 1001 2702 2702
dig_back_sum 47 -0.340 1.857 -0.482 2.515 -0.242 1.266 1406 1289 1289
comport 61 0.016 0.619 0.006 0.993 0.008 1.422 67399 1339334 1339334

Analyses based on FTLD CDR Global <= 1 sample

Variable Sample Size Difference Diff. SD Annualized Decline Ann. SD Annualized Z-score Decline Ann. Z. SD SampleSize_rawunits SampleSize_ann SampleSize_annZ
psprs_totalcln 36 9.944 12.510 14.026 19.191 1.285 1.758 75 89 89
ftldcdr_sob 46 2.141 3.078 2.850 4.387 1.510 2.325 98 112 112
homehobb 46 0.457 0.665 0.594 0.942 1.606 2.549 101 119 119
perscare 46 0.543 0.808 0.742 1.153 1.766 2.746 105 114 114
memory 46 0.217 0.360 0.291 0.550 0.849 1.601 130 168 168
commun 46 0.304 0.601 0.400 0.809 1.085 2.194 184 194 194
moca_total 39 -2.000 4.236 -2.464 5.671 -0.752 1.732 212 251 251
trailb_ratio 27 3.265 7.060 4.301 8.777 0.563 1.148 221 197 197
cdrlang 46 0.293 0.663 0.372 0.879 0.876 2.071 242 264 264
judgment 46 0.174 0.411 0.242 0.563 0.546 1.271 264 257 257
traila_ratio 37 1.412 3.578 1.717 4.122 0.941 2.259 304 273 273
uds.ef.rest 42 -0.228 0.683 -0.264 0.956 -0.290 1.051 425 621 621
flu_fwords 41 -1.098 3.639 -1.425 5.029 -0.348 1.228 520 589 589
flu_animal 39 -1.333 4.433 -1.365 5.888 -0.293 1.263 523 880 880
flu_veg 41 -0.634 2.809 -0.742 3.956 -0.218 1.160 928 1345 1345
flu_lwords 40 -0.725 3.250 -0.575 5.099 -0.147 1.302 950 3720 3720
orient 46 0.098 0.442 0.151 0.670 0.603 2.672 967 929 929
uds3_ef 41 -0.117 0.583 -0.131 0.807 -0.160 0.982 1166 1783 1783
comport 46 0.054 0.529 0.058 0.852 0.125 1.830 4488 10070 10070
dig_back_sum 39 -0.154 1.885 -0.207 2.490 -0.104 1.248 7102 6837 6837

Analysis based on FTLD CDR Global <=1 sampple; Baseline PSPRS < 25

Variable Sample Size Difference Diff. SD Annualized Decline Ann. SD Annualized Z-score Decline Ann. Z. SD SampleSize_rawunits SampleSize_ann SampleSize_annZ
psprs_totalcln 14 11.357 10.846 15.271 16.048 3.531 3.710 8 10 10
ftldcdr_sob 18 1.472 1.898 1.696 2.058 1.044 1.266 15 13 13
memory 18 0.167 0.243 0.207 0.318 0.697 1.071 19 21 21
homehobb 18 0.306 0.518 0.341 0.740 0.867 1.883 25 41 41
perscare 18 0.333 0.594 0.413 0.740 1.279 2.290 28 28 28
judgment 18 0.194 0.389 0.230 0.455 0.601 1.186 35 34 34
flu_animal 15 -2.067 4.728 -1.685 6.066 -0.330 1.187 46 113 113
commun 18 0.222 0.521 0.276 0.623 0.754 1.702 48 44 44
cdrlang 18 0.167 0.454 0.127 0.486 0.334 1.281 64 128 128
traila_ratio 15 0.525 1.497 0.526 1.614 0.380 1.167 71 82 82
trailb_ratio 11 1.683 7.251 2.078 7.712 0.654 2.427 161 120 120
flu_lwords 16 0.688 3.497 1.574 5.479 0.344 1.198 225 105 105
uds.ef.rest 16 -0.152 0.878 -0.061 1.127 -0.057 1.048 290 2951 2951
comport 18 0.056 0.379 0.098 0.527 0.251 1.355 405 253 253
orient 18 0.028 0.208 0.004 0.273 0.018 1.183 488 37345 37345
flu_veg 16 -0.312 2.575 -0.237 3.477 -0.072 1.059 590 1863 1863
dig_back_sum 16 0.188 1.870 0.359 2.197 0.155 0.952 864 326 326
moca_total 14 -0.214 3.926 -0.553 5.275 -0.136 1.295 2915 792 792
flu_fwords 16 -0.188 4.262 -0.086 5.459 -0.019 1.217 4487 35299 35299
uds3_ef 16 -0.023 0.752 0.064 0.957 0.062 0.935 9233 1973 1973